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9,430,564 | 11 | 12 | 11. A method to be executed by a processor in a network environment, the method comprising: receiving a plurality of sets of metadata elements representing a plurality of objects, respectively, wherein the objects of the plurality of objects are classified by a classification module evaluating contents of the objects to determine classifications based on one or more categories, wherein an object is classified based on a particular category if the object contains content corresponding to at least one concept associated with the particular category; generating a summary of the plurality of objects including: a total category count representing a total number of objects classified based on the particular category; one or more sets of dimension groups corresponding respectively to the one or more categories, wherein the dimension groups of each set of dimension groups correspond to respective metadata dimensions that represent respective types of metadata; providing, for display on a display screen of a computer, a classification view of the classified objects, wherein the classification view includes the summary of the plurality of objects; receiving a request to manipulate the classification view to subdivide the total category count into two or more subset counts based on a selected dimension group; generating the two or more subset counts corresponding respectively to two or more subsets of the objects classified based on the particular category, wherein each subset is defined by a respective hierarchical path in a hierarchical arrangement formed by the particular category and at least the metadata dimensions of the selected dimension group, and wherein each subset includes objects associated with a different metadata element of the selected dimension group; providing, for display on the display screen, a manipulated classification view including the two or more subset counts and the hierarchical path for each corresponding subset; receiving a request from a user to perform a protection task on objects of a selected subset of the two or more subsets; and initiating the protection task for the objects of the selected subset. | 11. A method to be executed by a processor in a network environment, the method comprising: receiving a plurality of sets of metadata elements representing a plurality of objects, respectively, wherein the objects of the plurality of objects are classified by a classification module evaluating contents of the objects to determine classifications based on one or more categories, wherein an object is classified based on a particular category if the object contains content corresponding to at least one concept associated with the particular category; generating a summary of the plurality of objects including: a total category count representing a total number of objects classified based on the particular category; one or more sets of dimension groups corresponding respectively to the one or more categories, wherein the dimension groups of each set of dimension groups correspond to respective metadata dimensions that represent respective types of metadata; providing, for display on a display screen of a computer, a classification view of the classified objects, wherein the classification view includes the summary of the plurality of objects; receiving a request to manipulate the classification view to subdivide the total category count into two or more subset counts based on a selected dimension group; generating the two or more subset counts corresponding respectively to two or more subsets of the objects classified based on the particular category, wherein each subset is defined by a respective hierarchical path in a hierarchical arrangement formed by the particular category and at least the metadata dimensions of the selected dimension group, and wherein each subset includes objects associated with a different metadata element of the selected dimension group; providing, for display on the display screen, a manipulated classification view including the two or more subset counts and the hierarchical path for each corresponding subset; receiving a request from a user to perform a protection task on objects of a selected subset of the two or more subsets; and initiating the protection task for the objects of the selected subset. 12. The method of claim 11 , further comprising: create an Online Analytical Processing (OLAP) data structure to represent the plurality of sets of metadata elements and the one or more categories, wherein each of the one or more categories is associated with at least one of the plurality of objects, wherein the summary is generated from the OLAP data structure. | 0.615222 |
9,201,866 | 24 | 25 | 24. A system comprising: one or more processors configured to perform operations that include: accessing, using the one or more processors, a mood evaluation index from a first electronic data store, wherein the mood evaluation index maps text to mood categories, wherein text describes a state associated with at least one of the mood categories, and wherein a mood category is associated with a state; mapping text to a mood category using the mood evaluation index, wherein the mood evaluation index associates a state with the text; calculating a mood weight for the text, wherein mood weights are calculated using a mood evaluation index, and wherein mood weights represent an intensity of the state that the text describes; accessing a message from a second electronic data store, wherein the message includes text mapped by the mood evaluation index; using the mood evaluation index to identify text included in the message that is mapped to a mood category; determining whether a modifier is in proximity to identified text; adjusting the mood weight of the identified text that is in proximity to the modifier; summing the mood weights of the identified text, wherein summing includes determining a category score corresponding to the mood category; and outputting the category score corresponding to the mood category to a third electronic data store, wherein the modifier is a negation, and wherein the adjusting the mood weight of the identified text that is in proximity to the modifier includes changing one of a positive mood to a negative mood or changing a negative mood to a positive mood. | 24. A system comprising: one or more processors configured to perform operations that include: accessing, using the one or more processors, a mood evaluation index from a first electronic data store, wherein the mood evaluation index maps text to mood categories, wherein text describes a state associated with at least one of the mood categories, and wherein a mood category is associated with a state; mapping text to a mood category using the mood evaluation index, wherein the mood evaluation index associates a state with the text; calculating a mood weight for the text, wherein mood weights are calculated using a mood evaluation index, and wherein mood weights represent an intensity of the state that the text describes; accessing a message from a second electronic data store, wherein the message includes text mapped by the mood evaluation index; using the mood evaluation index to identify text included in the message that is mapped to a mood category; determining whether a modifier is in proximity to identified text; adjusting the mood weight of the identified text that is in proximity to the modifier; summing the mood weights of the identified text, wherein summing includes determining a category score corresponding to the mood category; and outputting the category score corresponding to the mood category to a third electronic data store, wherein the modifier is a negation, and wherein the adjusting the mood weight of the identified text that is in proximity to the modifier includes changing one of a positive mood to a negative mood or changing a negative mood to a positive mood. 25. The system of claim 24 , wherein the modifier is a negation, wherein the operations for adjusting the mood weight of the identified text that is in proximity to the modifier includes changing a positive mood to a negative mood or changing a negative mood to a positive mood. | 0.731141 |
8,341,224 | 1 | 3 | 1. A computer-implemented method for resolving text change conflicts, comprising: receiving at a client an update notification from a server that includes an update to a current version of text that is co-edited by clients, wherein the server selects a text change from text changes received from one or more of the clients that is used to update the current version of the text; determining at the client, when the client has a non-selected text change to update the current version of the text that was sent to the server but not selected by the server to update the current version of the text; initiating a conflict resolution procedure on the client to create an updated text change to reflect the updated current version of the text and the non-selected text change; and submitting the updated text change to the server to update the current version of the text. | 1. A computer-implemented method for resolving text change conflicts, comprising: receiving at a client an update notification from a server that includes an update to a current version of text that is co-edited by clients, wherein the server selects a text change from text changes received from one or more of the clients that is used to update the current version of the text; determining at the client, when the client has a non-selected text change to update the current version of the text that was sent to the server but not selected by the server to update the current version of the text; initiating a conflict resolution procedure on the client to create an updated text change to reflect the updated current version of the text and the non-selected text change; and submitting the updated text change to the server to update the current version of the text. 3. The method of claim 1 , wherein the conflict resolution policy comprises merging text of the non-selected text change with the update to the current version of the text. | 0.835249 |
8,640,030 | 14 | 15 | 14. The method of claim 13 , wherein the blog entry comprises an indicator indicating that the blog entry is associated with a tag. | 14. The method of claim 13 , wherein the blog entry comprises an indicator indicating that the blog entry is associated with a tag. 15. The method of claim 14 , wherein the indicator comprises a hyperlink to a location in a video associated with the tag. | 0.956738 |
8,762,318 | 19 | 21 | 19. A non-transitory computer-readable medium tangibly storing thereon computer-readable instructions that when executed cause at least one processor to: receive an item recommendation request, the request identifying a user; responsive to a determination made using web page interaction data that the user is a frequent user, use item scoring in a model trained using the web page interaction data for a plurality of users, the item scoring identifying a plurality of scored items and the corresponding scores; responsive to a determination made using the web page interaction data that the user is an infrequent user; identify, using a current item identified from behavior of the user and the trained model, a probability for each cluster identified in the trained model that the user belongs to the cluster; and generate the plurality of scored items, each item of the plurality of scored items having an item score determined using the item's cluster score and the probability that the user belongs to the cluster; select items from the plurality of scored items based on the item scoring; and provide the selected items as item recommendations in response to the request. | 19. A non-transitory computer-readable medium tangibly storing thereon computer-readable instructions that when executed cause at least one processor to: receive an item recommendation request, the request identifying a user; responsive to a determination made using web page interaction data that the user is a frequent user, use item scoring in a model trained using the web page interaction data for a plurality of users, the item scoring identifying a plurality of scored items and the corresponding scores; responsive to a determination made using the web page interaction data that the user is an infrequent user; identify, using a current item identified from behavior of the user and the trained model, a probability for each cluster identified in the trained model that the user belongs to the cluster; and generate the plurality of scored items, each item of the plurality of scored items having an item score determined using the item's cluster score and the probability that the user belongs to the cluster; select items from the plurality of scored items based on the item scoring; and provide the selected items as item recommendations in response to the request. 21. The non-transitory computer-readable medium of claim 19 , the instructions further comprising instructions to: generate a short-term cluster membership vector using the current item identified from the behavior of the user and the trained model, the short-term membership vector being used to identify the probability for each cluster identified in the trained model that the user belongs to the cluster. | 0.584521 |
6,151,604 | 42 | 43 | 42. A method for storing and retrieving data in a computer memory, comprising the steps of: configuring said memory according to a logical table, said logical table including: a plurality of logical rows, each said logical row including an object identification number (OID) to identify each said logical row, each said logical row corresponding to a record of information; a plurality of logical columns intersecting said plurality of logical rows to define a plurality of logical cells, each said logical column including an OID to identify each said logical column; and wherein at least one of said logical rows contains a logical cell that contains a pointer to a different logical row and at least one of said logical rows includes logical column information defining each of said logical column; and searching said table for said pointer. | 42. A method for storing and retrieving data in a computer memory, comprising the steps of: configuring said memory according to a logical table, said logical table including: a plurality of logical rows, each said logical row including an object identification number (OID) to identify each said logical row, each said logical row corresponding to a record of information; a plurality of logical columns intersecting said plurality of logical rows to define a plurality of logical cells, each said logical column including an OID to identify each said logical column; and wherein at least one of said logical rows contains a logical cell that contains a pointer to a different logical row and at least one of said logical rows includes logical column information defining each of said logical column; and searching said table for said pointer. 43. The method of claim 42 wherein at least one of said logical columns defines logical cells that include a plurality of pointers to other logical columns within the same record, said pointers indicating those logical columns within the same record that contain defined values. | 0.508834 |
7,613,995 | 3 | 4 | 3. One or more computer readable media as recited in claim 1 , wherein the instructions that cause the one or more processors to rank the document comprise instructions that cause the one or more processors to: identify the ranking for each block that is part of the document; combine the rankings for each block to generate a ranking for the document; wherein the ranking for each document includes an average ranking of all the blocks or a weighted average ranking of all the blocks. | 3. One or more computer readable media as recited in claim 1 , wherein the instructions that cause the one or more processors to rank the document comprise instructions that cause the one or more processors to: identify the ranking for each block that is part of the document; combine the rankings for each block to generate a ranking for the document; wherein the ranking for each document includes an average ranking of all the blocks or a weighted average ranking of all the blocks. 4. One or more computer readable media as recited in claim 3 , wherein generating the combined ranking for the document includes an average ranking of all the blocks and a weighted average ranking of all the blocks. | 0.905784 |
7,594,166 | 28 | 40 | 28. A computer system including at least one processor for rendering page images on a display, comprising: an external component encapsulating code for modifying a behavior of one or more elements, the external component operable to be instantiated multiple times and operable to modify elements in a plurality of different HTML documents while being external to the HTML documents and wherein information associating the one or more elements with the external component is maintained in a cascading style sheet, wherein code for determining a behavior of the one or more elements is included in one or more extensible markup language (XML) namespaces that are defined externally to the HTML documents and that are associated with the external component; and at least one processing unit comprising a renderer connected to the display for rendering the page images, the renderer being configured to: modify one or more of the page images by accessing one or more of the XML namespaces associated with the external component to initiate drawing of information on the one or more of the page images based at least in part on code included in the one or more XML namespaces; make a plurality of calls to the one or more XML namespaces to initiate the drawing of the information on the one or more of the page images; and draw the information on the one or more of the page image responsive to one or more of the plurality of calls to the one or more XML namespaces; the renderer being further configured to: instantiate the external component to reveal one or more of the XML namespaces associated with the external component the one or more of the XML namespaces being external to the HTML document and specifying one or more behaviors to be applied to the one or more elements; and access the one or more XML namespaces to retrieve a new behavior to be applied to the representation of the one or more elements rendered on the page image, the new behavior being configured to enhance a default behavior for the one or more elements. | 28. A computer system including at least one processor for rendering page images on a display, comprising: an external component encapsulating code for modifying a behavior of one or more elements, the external component operable to be instantiated multiple times and operable to modify elements in a plurality of different HTML documents while being external to the HTML documents and wherein information associating the one or more elements with the external component is maintained in a cascading style sheet, wherein code for determining a behavior of the one or more elements is included in one or more extensible markup language (XML) namespaces that are defined externally to the HTML documents and that are associated with the external component; and at least one processing unit comprising a renderer connected to the display for rendering the page images, the renderer being configured to: modify one or more of the page images by accessing one or more of the XML namespaces associated with the external component to initiate drawing of information on the one or more of the page images based at least in part on code included in the one or more XML namespaces; make a plurality of calls to the one or more XML namespaces to initiate the drawing of the information on the one or more of the page images; and draw the information on the one or more of the page image responsive to one or more of the plurality of calls to the one or more XML namespaces; the renderer being further configured to: instantiate the external component to reveal one or more of the XML namespaces associated with the external component the one or more of the XML namespaces being external to the HTML document and specifying one or more behaviors to be applied to the one or more elements; and access the one or more XML namespaces to retrieve a new behavior to be applied to the representation of the one or more elements rendered on the page image, the new behavior being configured to enhance a default behavior for the one or more elements. 40. The system of claim 28 wherein the information associating the one or more elements with the external component is maintained in the HTML document inline with the one or more elements. | 0.716867 |
7,933,783 | 12 | 13 | 12. A computer program product for determining topics in which a patient could benefit from additional medical information, embodied on a computer readable storage medium, the computer program product comprising instructions for causing a computer to: receive over a network a real-time text-based communication between a medical service provider and the patient; parse the real-time text-based communication between the medical service provider and the patient into one or more text units comprising at least one of words, phrases and sentences; compare the one or more text units to a list of triggering keywords, the triggering keywords including words that indicate a potential medical issue, to detect one or more triggering keywords in the communication, with the triggering keywords associated with one or more health care topics; determine, based on the triggering keywords detected, one or more health care topics that are associated with the detected triggering keywords; retrieve a list of the determined one or more health care topics for the patient and the medical service provider to discuss during the real-time communication; generate a graphical user interface that when rendered on a display device, renders a visual representation of the list of the one or more health care topics; and send, over the network during the real-time communication between the medical service provider and the patient, the graphical user interface to a computing device being used by the medical service provider in response to detecting the one or more triggering keywords. | 12. A computer program product for determining topics in which a patient could benefit from additional medical information, embodied on a computer readable storage medium, the computer program product comprising instructions for causing a computer to: receive over a network a real-time text-based communication between a medical service provider and the patient; parse the real-time text-based communication between the medical service provider and the patient into one or more text units comprising at least one of words, phrases and sentences; compare the one or more text units to a list of triggering keywords, the triggering keywords including words that indicate a potential medical issue, to detect one or more triggering keywords in the communication, with the triggering keywords associated with one or more health care topics; determine, based on the triggering keywords detected, one or more health care topics that are associated with the detected triggering keywords; retrieve a list of the determined one or more health care topics for the patient and the medical service provider to discuss during the real-time communication; generate a graphical user interface that when rendered on a display device, renders a visual representation of the list of the one or more health care topics; and send, over the network during the real-time communication between the medical service provider and the patient, the graphical user interface to a computing device being used by the medical service provider in response to detecting the one or more triggering keywords. 13. The computer program product of claim 12 , further comprising instructions for causing the computer to: retrieve from one or more data repositories the list of triggering keywords; and associate one of more of the triggering keywords included in the list with the one or more health care topics. | 0.592643 |
7,610,194 | 15 | 20 | 15. An apparatus for reordering items in a database to be retrieved for display to a user, comprising: a module for accepting user input from a keyboard, said user input comprising at least one keypress; a linguistic database (LDB) containing a plurality of words ordered according to a predefined linguistic frequency of use model; a module for displaying to said user a list of any words in said LDB and any user-defined words in a user database (UDB) that match at least one letter corresponding to said at least one keypress, said words retrieved from any of said LDB and from said UDB; said UDB for storing any user-defined words entered by said user, a frequency count associated with each user-defined word, and a frequency count associated with each word stored in said LOB that was assigned a frequency count by an assigning module; a module for retrieving from any of said LOB and from said UDB a list of any words that match at least one letter corresponding to said at least one keypress of said user's input, said words dynamically reordered for display of said retrieved words as a function of said predefined linguistics frequency of use model and each frequency count associated with any of said retrieved words; and said assigning module for assigning a frequency count to every selected word in a non first order position in a list of said retrieved words and assigning a frequency count to a first order word if a word in a non first order position is selected, said frequency count being different for said first order word than said frequency count for said selected non first order word, said assigning module updating a frequency count each time a non first order word is selected from said retrieved list. | 15. An apparatus for reordering items in a database to be retrieved for display to a user, comprising: a module for accepting user input from a keyboard, said user input comprising at least one keypress; a linguistic database (LDB) containing a plurality of words ordered according to a predefined linguistic frequency of use model; a module for displaying to said user a list of any words in said LDB and any user-defined words in a user database (UDB) that match at least one letter corresponding to said at least one keypress, said words retrieved from any of said LDB and from said UDB; said UDB for storing any user-defined words entered by said user, a frequency count associated with each user-defined word, and a frequency count associated with each word stored in said LOB that was assigned a frequency count by an assigning module; a module for retrieving from any of said LOB and from said UDB a list of any words that match at least one letter corresponding to said at least one keypress of said user's input, said words dynamically reordered for display of said retrieved words as a function of said predefined linguistics frequency of use model and each frequency count associated with any of said retrieved words; and said assigning module for assigning a frequency count to every selected word in a non first order position in a list of said retrieved words and assigning a frequency count to a first order word if a word in a non first order position is selected, said frequency count being different for said first order word than said frequency count for said selected non first order word, said assigning module updating a frequency count each time a non first order word is selected from said retrieved list. 20. The apparatus of claim 15 , wherein if said user selects from said list a word that is below a second ordered position then said assigning module assigns a frequency count that places said word in said second ordered position in said list. | 0.826676 |
9,620,106 | 1 | 4 | 1. A method comprising: identifying a speaker providing speech; identifying a microphone type of a microphone receiving the speech; selecting a user profile from a plurality of user profiles based on the microphone type and a current location of the speaker, wherein each user profile in the plurality of user profiles is associated with the speaker; and performing, via a processor, speech recognition on the speech received from the speaker using the user profile. | 1. A method comprising: identifying a speaker providing speech; identifying a microphone type of a microphone receiving the speech; selecting a user profile from a plurality of user profiles based on the microphone type and a current location of the speaker, wherein each user profile in the plurality of user profiles is associated with the speaker; and performing, via a processor, speech recognition on the speech received from the speaker using the user profile. 4. The method of claim 1 , further comprising modifying an aspect of the speech recognition based on a speech adaption associated with the speaker. | 0.852705 |
9,171,542 | 18 | 20 | 18. The one or more non-transitory computer-readable media of claim 16 , wherein the instructions, when executed by the one or more computers, cause the one or more computers to determine, for each element of a plurality of elements of the list, a key-value pair comprising a context type and a context value. | 18. The one or more non-transitory computer-readable media of claim 16 , wherein the instructions, when executed by the one or more computers, cause the one or more computers to determine, for each element of a plurality of elements of the list, a key-value pair comprising a context type and a context value. 20. The one or more non-transitory computer-readable media of claim 18 , wherein the instructions, when executed by the one or more computers, cause the one or more computers to: determine, for each key-value pair of the plurality of key-value pairs, a confidence score indicating a level of confidence that a possible resolution of the different possible resolutions corresponding to the key-value pair resolves the unresolved anaphora; and re-rank, for each key-value pair of the plurality of key-value pairs and based on the confidence score, an element of the plurality of elements corresponding to the key-value pair within the list. | 0.614268 |
5,434,953 | 1 | 8 | 1. A processor-based method for reducing a binary input image to produce a reduced image wherein the input image is divided into M.times.N tiles, each tile has M pixels down and N pixels across, and each tile is mapped to a single pixel in the reduced image, comprising the steps, carried out once for each tile, of: applying a convolution window defined by a plurality of active pixel positions when registered to the tile, the number of active pixel positions in the tile being less than the number of pixels in the tile; determining, on the basis of pixel values at the active pixel positions, whether a particular condition is met; and turning ON the pixel in the reduced image if and only if the result of said determining step is affirmative. | 1. A processor-based method for reducing a binary input image to produce a reduced image wherein the input image is divided into M.times.N tiles, each tile has M pixels down and N pixels across, and each tile is mapped to a single pixel in the reduced image, comprising the steps, carried out once for each tile, of: applying a convolution window defined by a plurality of active pixel positions when registered to the tile, the number of active pixel positions in the tile being less than the number of pixels in the tile; determining, on the basis of pixel values at the active pixel positions, whether a particular condition is met; and turning ON the pixel in the reduced image if and only if the result of said determining step is affirmative. 8. The method of claim 1 wherein: the processor-based method is performed in a computer capable of testing whether a word has a value of 0; the convolution window is a horizontal 1.times.N window entirely within the tile and corresponds to a word in the computer; the particular condition is that there be at least 1 ON pixel at the active pixel positions; and said determining step is carried out by testing whether the word has a value of 0. | 0.604464 |
9,858,252 | 12 | 18 | 12. A method, comprising: storing, by a processing system of a database system, a plurality of subscriptions, each of the subscriptions associated with a different subscriber of a plurality of subscribers, each subscriber associated with a permission level of a plurality of permission levels; receiving at the database system first information uploaded from a first remote user system that is coupled to the database system over a network, wherein the first information comprises annotation information including annotations and positioning information; determining, by the processing system, whether to grant one of the subscribers access to the annotations; and in response to determining to grant the one of the subscribers access to the annotations, downloading second information to be used to graphically annotate content that originates from an arbitrary document creation application and includes an arbitrary format without modification of said content on the second remote user system, wherein the second information that is different than the received first information and the downloading is to a second remote user system that is different from the first remote user system; and wherein the second different information comprises an overlay having a transparent work area to align to an arbitrary format display corresponding to the content. | 12. A method, comprising: storing, by a processing system of a database system, a plurality of subscriptions, each of the subscriptions associated with a different subscriber of a plurality of subscribers, each subscriber associated with a permission level of a plurality of permission levels; receiving at the database system first information uploaded from a first remote user system that is coupled to the database system over a network, wherein the first information comprises annotation information including annotations and positioning information; determining, by the processing system, whether to grant one of the subscribers access to the annotations; and in response to determining to grant the one of the subscribers access to the annotations, downloading second information to be used to graphically annotate content that originates from an arbitrary document creation application and includes an arbitrary format without modification of said content on the second remote user system, wherein the second information that is different than the received first information and the downloading is to a second remote user system that is different from the first remote user system; and wherein the second different information comprises an overlay having a transparent work area to align to an arbitrary format display corresponding to the content. 18. The method of claim 12 , wherein the positioning information includes a first value corresponding to at least one of a size or resolution of a document that corresponds to the annotation information. | 0.862092 |
8,336,025 | 20 | 24 | 20. A computer and a non-transitory computer-readable medium comprising software that, when executed by the computer, causes the computer to perform operations, the computer-readable medium comprising: instructions for determining a user selected construct within a design tool; instructions for receiving a selection of a computing environment within the design tool, the computing environment being selected from at least one textual computing environment and at least one graphical computing environment; instructions for identifying the selected computing environment into which the selected construct is placed; instructions for determining a position of the selected user construct placed in the selected computing environment; instructions for selecting a template based on the selected computing environment and the user selected construct; and instructions for inserting the selected template into the selected computing environment at the determined position in the selected computing environment. | 20. A computer and a non-transitory computer-readable medium comprising software that, when executed by the computer, causes the computer to perform operations, the computer-readable medium comprising: instructions for determining a user selected construct within a design tool; instructions for receiving a selection of a computing environment within the design tool, the computing environment being selected from at least one textual computing environment and at least one graphical computing environment; instructions for identifying the selected computing environment into which the selected construct is placed; instructions for determining a position of the selected user construct placed in the selected computing environment; instructions for selecting a template based on the selected computing environment and the user selected construct; and instructions for inserting the selected template into the selected computing environment at the determined position in the selected computing environment. 24. The computer and non-transitory computer-readable medium according to claim 20 , wherein the design tool comprises a floating tool bar window. | 0.933089 |
9,445,451 | 10 | 18 | 10. A computer-program product for use in conjunction with an electronic device, the computer-program product comprising a non-transitory computer-readable storage medium and a computer-program mechanism embedded therein to communicate input messages and output messages with another electronic device using a Bluetooth Low Energy (BTLE) communication protocol, the computer-program mechanism including: instructions for receiving the input messages using a predefined characteristic having a numerical identifier to convey input information associated with a set of input attribute types including multiple input attribute types, wherein a given input message includes one or more input-command characters specifying a given input attribute type in the set of input attribute types, an input value in an input argument associated with the given input attribute type, and an input delimiter between the one or more input-command characters and the input argument, and wherein the one or more input-command characters, the input delimiter and the input value dynamically repurpose the predefined characteristic to convey any of the set of input attribute types, including an input attribute that is not known in advance; and instructions providing the output messages using the predefined characteristic to convey output information associated with a set of output attribute types having multiple output attribute types, wherein a given output message includes one or more output-command characters specifying a given output attribute type in the set of output attribute types, an output value in an output argument associated with the given output attribute type, and an output delimiter between the one or more output-command characters and the output argument, and wherein the one or more output-command characters, the output delimiter and the output value dynamically repurpose the predefined characteristic to convey any of the set of output attribute types. | 10. A computer-program product for use in conjunction with an electronic device, the computer-program product comprising a non-transitory computer-readable storage medium and a computer-program mechanism embedded therein to communicate input messages and output messages with another electronic device using a Bluetooth Low Energy (BTLE) communication protocol, the computer-program mechanism including: instructions for receiving the input messages using a predefined characteristic having a numerical identifier to convey input information associated with a set of input attribute types including multiple input attribute types, wherein a given input message includes one or more input-command characters specifying a given input attribute type in the set of input attribute types, an input value in an input argument associated with the given input attribute type, and an input delimiter between the one or more input-command characters and the input argument, and wherein the one or more input-command characters, the input delimiter and the input value dynamically repurpose the predefined characteristic to convey any of the set of input attribute types, including an input attribute that is not known in advance; and instructions providing the output messages using the predefined characteristic to convey output information associated with a set of output attribute types having multiple output attribute types, wherein a given output message includes one or more output-command characters specifying a given output attribute type in the set of output attribute types, an output value in an output argument associated with the given output attribute type, and an output delimiter between the one or more output-command characters and the output argument, and wherein the one or more output-command characters, the output delimiter and the output value dynamically repurpose the predefined characteristic to convey any of the set of output attribute types. 18. The computer-program product of claim 10 , wherein the computer-program mechanism includes instructions for providing, in response to receiving an input message with an information request and when the requested information exceeds a maximum length of the given output message, the requested information in a set of output messages; wherein a first output message in the set of output messages specifies a number of output messages in the set of output messages; wherein output messages between the first output message and a final output message in the set of output messages specifies its position in the set of output messages and includes a portion of the requested information; and wherein the final output message in the set of output messages indicates that the set of output messages is complete. | 0.500618 |
8,654,933 | 1 | 7 | 1. A voice messaging system for converting an audio message from a caller into text, the voice messaging system comprising: at least one automatic speech recognition (ASR) system to automatically recognize at least some of the audio message; a computer implemented preprocessing front-end to process the audio message from the caller and to detect if the audio message contains no voice content, wherein: if the preprocessing front-end detects that the audio message contains no voice content, the preprocessing front-end does not provide the audio message to the ASR component; and if the preprocessing front-end detects that the audio message contains voice content, the front-end provides the audio message to the ASR component, and wherein the computer implemented preprocessing front-end comprises a computer implemented speech quality detector to determine at least one measure of speech quality of the voice content of the audio message, and wherein the speech quality detector detects drop-outs, estimates noise levels and/or calculates an overall measure of voice quality using an adaptive threshold to reject lowest quality messages. | 1. A voice messaging system for converting an audio message from a caller into text, the voice messaging system comprising: at least one automatic speech recognition (ASR) system to automatically recognize at least some of the audio message; a computer implemented preprocessing front-end to process the audio message from the caller and to detect if the audio message contains no voice content, wherein: if the preprocessing front-end detects that the audio message contains no voice content, the preprocessing front-end does not provide the audio message to the ASR component; and if the preprocessing front-end detects that the audio message contains voice content, the front-end provides the audio message to the ASR component, and wherein the computer implemented preprocessing front-end comprises a computer implemented speech quality detector to determine at least one measure of speech quality of the voice content of the audio message, and wherein the speech quality detector detects drop-outs, estimates noise levels and/or calculates an overall measure of voice quality using an adaptive threshold to reject lowest quality messages. 7. The system of claim 1 , wherein the audio message corresponds to a voice message intended for an instant messaging service, and wherein the voice content is converted to text, at least in part by the ASR component, and sent to an instant messaging service for a display on a screen. | 0.501748 |
10,108,688 | 16 | 17 | 16. The content management system of claim 15 , wherein the instructions cause: storing a mapping of a first identifier for the document to a plurality of document references, the plurality of document references including the first reference; in response to receiving the first message, comparing a second identifier received in the message to the first identifier in the mapping; determining that the first message includes metadata for the first reference based on the comparison; and in response to determining that the first message includes metadata for the first reference, updating the metadata for the first reference managed by the content management system. | 16. The content management system of claim 15 , wherein the instructions cause: storing a mapping of a first identifier for the document to a plurality of document references, the plurality of document references including the first reference; in response to receiving the first message, comparing a second identifier received in the message to the first identifier in the mapping; determining that the first message includes metadata for the first reference based on the comparison; and in response to determining that the first message includes metadata for the first reference, updating the metadata for the first reference managed by the content management system. 17. The content management system of claim 16 , wherein the plurality of document references includes a second reference, and wherein the instructions cause: determining that the message includes metadata for the second reference based on the comparison; and in response to determining that the message includes metadata for the second reference, updating the metadata for the second reference managed by the content management system. | 0.882432 |
8,015,210 | 17 | 18 | 17. The system of claim 15 wherein the processor is configured to parse the first address string to determine a first relational path between the first object, the second object, and the third object. | 17. The system of claim 15 wherein the processor is configured to parse the first address string to determine a first relational path between the first object, the second object, and the third object. 18. The system of claim 17 wherein the processor is configured to determine the first location of the first object based on the first relational path. | 0.969904 |
7,721,203 | 7 | 8 | 7. The computer-readable storage medium of claim 1 , wherein the rules comprise at least one rule for creating complex characters according to the selected language. | 7. The computer-readable storage medium of claim 1 , wherein the rules comprise at least one rule for creating complex characters according to the selected language. 8. The computer-readable storage medium of claim 7 , wherein the selected language is Thai. | 0.987524 |
8,589,408 | 1 | 3 | 1. A computer system for iterative set expansion using samples, the system comprising: a processor and memory configured to execute software instructions embodied within the following components; an input component that receives a set of seed terms and a set of terms and associated contexts with which to expand the set of seed terms; a data modeling component that models the received terms and seeds as a bipartite graph with candidate terms being nodes on one side and identified context nodes on the other side, and models web query log data by dividing each query into a context of a fixed number of tokens of prefix or suffix and a remaining term; a similarity determining component that determines a similarity metric between two candidate nodes in the graph based on the candidate nodes' relationship to the context nodes in the graph; a relevance determining component that determines a relevance metric that indicates how similar a node in the graph is to the received seed terms and corresponding nodes; a coherence determining component that determines a coherence metric that indicates how consistent a concept set is that includes the seed terms and one or more candidate nodes; a quality measurement component that combines the determined relevance metric and coherence metric to determine a quality metric that indicates relevance and coherence among a set of nodes in the graph; an iterative expansion component that identifies an expanded seed set having a high quality metric; and a set reporting component that reports the identified expanded seed set as output. | 1. A computer system for iterative set expansion using samples, the system comprising: a processor and memory configured to execute software instructions embodied within the following components; an input component that receives a set of seed terms and a set of terms and associated contexts with which to expand the set of seed terms; a data modeling component that models the received terms and seeds as a bipartite graph with candidate terms being nodes on one side and identified context nodes on the other side, and models web query log data by dividing each query into a context of a fixed number of tokens of prefix or suffix and a remaining term; a similarity determining component that determines a similarity metric between two candidate nodes in the graph based on the candidate nodes' relationship to the context nodes in the graph; a relevance determining component that determines a relevance metric that indicates how similar a node in the graph is to the received seed terms and corresponding nodes; a coherence determining component that determines a coherence metric that indicates how consistent a concept set is that includes the seed terms and one or more candidate nodes; a quality measurement component that combines the determined relevance metric and coherence metric to determine a quality metric that indicates relevance and coherence among a set of nodes in the graph; an iterative expansion component that identifies an expanded seed set having a high quality metric; and a set reporting component that reports the identified expanded seed set as output. 3. The system of claim 1 wherein the data modeling component models web query log data by weighting the edges using a mutual information probability calculation and discarding edges below a threshold probability. | 0.82708 |
7,493,247 | 1 | 5 | 1. A system for analyzing user logic in an integrated circuit under test (ICUT), said ICUT including: a user logic (UL) region including a logic circuit operable synchronously with an applied periodic clock, said logic circuit having a plurality of nodes and one or more UL signal lines, each of said UL signal lines extending from an associated one of said nodes, wherein signals on one or more of said UL signal lines are representative of binary values at said associated nodes as a function of time, and a debug logic (DL) region including: a tracer having one or more tracer (T) input lines, wherein said tracer is responsive to signals on one or more of said T input lines to generate ICUT-based traces, said ICUT-based traces being representative of a succession of states of said user logic circuit over a plurality of cycles of said periodic clock, a reconfigurable router responsive to an applied router configuration signal to couple selected ones of said UL signal lines to selected ones of said T input lines, a reconfigurable logic responsive to an applied assertion analysis control signal to generate an assertion evaluation signal representative of an evaluation of one or more applied assertions over a succession of clock cycles, wherein said system comprises: A. a model checker compiler responsive to an applied design description for said ICUT, zero, one or more applied constraints C, an applied initial state I, and one or more applied assertions, to generate basic logic, B. a model checker engine responsive to said basic logic to (i) construct a state graph extending from said applied initial state I and representative of plurality of reachable states for said design description with respect to said applied constraints C, and (ii) evaluate said assertions over a subset of said states reachable from said initial state I, and to generate model checker-based traces representative of said evaluation of said assertions over said subset, and C. a controller responsive to said basic logic relative to I, C, and said assertions, to generate said router configuration signal for application to said reconfigurable router of said ICUT and transfer said router configuration signal to said reconfigurable router, and being adapted to receive said ICUT-based traces and transfer said received ICUT-based traces to said model checker engine, and wherein said controller is responsive to said model checker engine to generate said assertion analysis control signal and apply said assertion analysis control signal to said reconfigurable logic. | 1. A system for analyzing user logic in an integrated circuit under test (ICUT), said ICUT including: a user logic (UL) region including a logic circuit operable synchronously with an applied periodic clock, said logic circuit having a plurality of nodes and one or more UL signal lines, each of said UL signal lines extending from an associated one of said nodes, wherein signals on one or more of said UL signal lines are representative of binary values at said associated nodes as a function of time, and a debug logic (DL) region including: a tracer having one or more tracer (T) input lines, wherein said tracer is responsive to signals on one or more of said T input lines to generate ICUT-based traces, said ICUT-based traces being representative of a succession of states of said user logic circuit over a plurality of cycles of said periodic clock, a reconfigurable router responsive to an applied router configuration signal to couple selected ones of said UL signal lines to selected ones of said T input lines, a reconfigurable logic responsive to an applied assertion analysis control signal to generate an assertion evaluation signal representative of an evaluation of one or more applied assertions over a succession of clock cycles, wherein said system comprises: A. a model checker compiler responsive to an applied design description for said ICUT, zero, one or more applied constraints C, an applied initial state I, and one or more applied assertions, to generate basic logic, B. a model checker engine responsive to said basic logic to (i) construct a state graph extending from said applied initial state I and representative of plurality of reachable states for said design description with respect to said applied constraints C, and (ii) evaluate said assertions over a subset of said states reachable from said initial state I, and to generate model checker-based traces representative of said evaluation of said assertions over said subset, and C. a controller responsive to said basic logic relative to I, C, and said assertions, to generate said router configuration signal for application to said reconfigurable router of said ICUT and transfer said router configuration signal to said reconfigurable router, and being adapted to receive said ICUT-based traces and transfer said received ICUT-based traces to said model checker engine, and wherein said controller is responsive to said model checker engine to generate said assertion analysis control signal and apply said assertion analysis control signal to said reconfigurable logic. 5. A system according to claim 1 wherein said model checker engine includes means for determining whether a model checker-based trace is a reproduction of said ICUT-based trace. | 0.823353 |
9,563,849 | 12 | 13 | 12. The non-transitory computer-readable medium of claim 9 , wherein the instructions to detect causal relationships among the plurality of entities, during runtime of the computing environment, based on the events includes instructions to: generate a graph including: create vertices based on an initial set of events including a first vertex, a second vertex, and a third vertex, and arrange the first vertex, the second vertex, and the third vertex in chronological order; create arcs between temporally adjacent vertices including a first arc connected between the first vertex and the second vertex and a second arc connected between the second vertex and the third vertex; and annotate each arc with a coefficient value representing a level of connectivity between the temporally adjacent vertices. | 12. The non-transitory computer-readable medium of claim 9 , wherein the instructions to detect causal relationships among the plurality of entities, during runtime of the computing environment, based on the events includes instructions to: generate a graph including: create vertices based on an initial set of events including a first vertex, a second vertex, and a third vertex, and arrange the first vertex, the second vertex, and the third vertex in chronological order; create arcs between temporally adjacent vertices including a first arc connected between the first vertex and the second vertex and a second arc connected between the second vertex and the third vertex; and annotate each arc with a coefficient value representing a level of connectivity between the temporally adjacent vertices. 13. The non-transitory computer-readable medium of claim 12 , wherein the instructions further include instructions to: receive a relationship model providing at least one known relationship between the plurality of entities; and strengthen at least one arc of the graph based on the at least one known relationship. | 0.895156 |
9,056,256 | 5 | 27 | 5. The method of claim 1 wherein: capturing actions taken by the user includes monitoring actions of the user within an online game environment; and automatically determining a play personality of the user is based, at least in part, on the actions of the user within the online game environment. | 5. The method of claim 1 wherein: capturing actions taken by the user includes monitoring actions of the user within an online game environment; and automatically determining a play personality of the user is based, at least in part, on the actions of the user within the online game environment. 27. The method of claim 5 further comprising adjusting how one or more non-playing characters act relative to an avatar of the user based on the play personality determined for the user. | 0.961916 |
8,473,897 | 8 | 12 | 8. A computer-readable memory device comprising computer-readable instructions for causing at least one processor to execute the following components: an input component configured to receive a definition of programmatic elements of at least one abstract syntax tree representation of a declarative programming language according to the common intermediate representation, wherein the declarative programming language adheres to an order independent execution programming model that facilitates entering values into a data abstraction of the order independent execution model in an order unobservable to a target repository, and wherein types have values and values have types; an abstract syntax tree processing component configured to format at least one abstract syntax tree data structure in memory based on the definition of the programmatic elements and further configured to generate at least one executable program based on the at least one abstract syntax tree data structure; and an abstract syntax tree manipulation component configured to expose the programmatic elements represented by the at least one abstract syntax tree data structure to at least one of a developer or a third party application for modification of the at least one abstract syntax tree data structure. | 8. A computer-readable memory device comprising computer-readable instructions for causing at least one processor to execute the following components: an input component configured to receive a definition of programmatic elements of at least one abstract syntax tree representation of a declarative programming language according to the common intermediate representation, wherein the declarative programming language adheres to an order independent execution programming model that facilitates entering values into a data abstraction of the order independent execution model in an order unobservable to a target repository, and wherein types have values and values have types; an abstract syntax tree processing component configured to format at least one abstract syntax tree data structure in memory based on the definition of the programmatic elements and further configured to generate at least one executable program based on the at least one abstract syntax tree data structure; and an abstract syntax tree manipulation component configured to expose the programmatic elements represented by the at least one abstract syntax tree data structure to at least one of a developer or a third party application for modification of the at least one abstract syntax tree data structure. 12. The computer-readable memory device of claim 8 , further comprising: an abstract syntax tree executable component configured to form and execute executable declarative code based on at least one semantic graph formed from semantic analysis of the at least one abstract syntax tree data structure. | 0.651972 |
9,020,923 | 11 | 18 | 11. A system, comprising: at least one processor; and memory storing instructions configured to instruct the at least one processor to provide a first webpage to configure a web browser to show a user interface in a window, the user interface configured to search music, the user interface comprising a plurality of search tools including a keyword search tool having a first user interface element configured to receive a set of keywords from a user, the keyword search tool configured to identify a set of music search results based on matching with the keywords, a set of filter tools having at least one second user interface element separate from the first user interface element and configured to receive a set of filtering options, the set of filter tools configured to filter the set of music search results based on the filter options specified in the at least one second user interface element, wherein the at least one second user interface element of the set of filter tools is capable of receiving the set of filtering options without the user providing input to the first user interface element of the keyword search tool, wherein the keyword search tool is configured to cause the set of filter tools to apply filter options corresponding to keywords received from the user in the keyword search tool, and wherein the set of filter tools are configured to cause the keyword search tool to receive keywords corresponding to filter options applied by user in the set filter tools; and a result panel configured to show the set of music search results as a list of items in the first webpage, each of the items corresponding to a music piece; wherein when an item in the list corresponding to a search result of the set of music search results is selected by the user in the user interface, the selected item within the list corresponding to the music search result expands within the result panel to present, inside the list at a location near the selected search result, an explore-more button, an action button, an audio player showing a waveform representation of audio of the selected music search result, a description of the selected music search result, and artwork associated with the search result; wherein when the filter tools are used to modify search criteria, the result panel updates search results displayed within the result panel without leaving the first webpage; and wherein a selection of the explore-more button causes, determining acoustic attributes of a piece of music in the search result in which the explore-more button is presented, the acoustic attributes based on numerical measurements of audio signals in the piece of music, initiating a new search using at least the acoustic attributes, wherein the acoustic attributes cannot be searched using the keyword search tool, and presenting results of the new search in a list ordered according to a degree of acoustic similarity with the piece of music. | 11. A system, comprising: at least one processor; and memory storing instructions configured to instruct the at least one processor to provide a first webpage to configure a web browser to show a user interface in a window, the user interface configured to search music, the user interface comprising a plurality of search tools including a keyword search tool having a first user interface element configured to receive a set of keywords from a user, the keyword search tool configured to identify a set of music search results based on matching with the keywords, a set of filter tools having at least one second user interface element separate from the first user interface element and configured to receive a set of filtering options, the set of filter tools configured to filter the set of music search results based on the filter options specified in the at least one second user interface element, wherein the at least one second user interface element of the set of filter tools is capable of receiving the set of filtering options without the user providing input to the first user interface element of the keyword search tool, wherein the keyword search tool is configured to cause the set of filter tools to apply filter options corresponding to keywords received from the user in the keyword search tool, and wherein the set of filter tools are configured to cause the keyword search tool to receive keywords corresponding to filter options applied by user in the set filter tools; and a result panel configured to show the set of music search results as a list of items in the first webpage, each of the items corresponding to a music piece; wherein when an item in the list corresponding to a search result of the set of music search results is selected by the user in the user interface, the selected item within the list corresponding to the music search result expands within the result panel to present, inside the list at a location near the selected search result, an explore-more button, an action button, an audio player showing a waveform representation of audio of the selected music search result, a description of the selected music search result, and artwork associated with the search result; wherein when the filter tools are used to modify search criteria, the result panel updates search results displayed within the result panel without leaving the first webpage; and wherein a selection of the explore-more button causes, determining acoustic attributes of a piece of music in the search result in which the explore-more button is presented, the acoustic attributes based on numerical measurements of audio signals in the piece of music, initiating a new search using at least the acoustic attributes, wherein the acoustic attributes cannot be searched using the keyword search tool, and presenting results of the new search in a list ordered according to a degree of acoustic similarity with the piece of music. 18. The system of claim 11 , wherein the user interface is configured to allow the user to selectively dock one or more buttons, representing respective one or more of the filter tools, at a dock area of the user interface presented in the first webpage; and when a button is selected from the one or more buttons docked in the dock area, a respective filter tool interface is presented to allow the user to select or deselect one or more filter options. | 0.501099 |
8,290,942 | 1 | 4 | 1. A computer-implemented geographic information system (GIS), including a processor and memory, comprising: a network interface to receive non-cartographic information about a plurality of geospatial entities, each geospatial entity defined in an on-line forum and each geospatial entity having a geometry and located at a physical location, wherein the information is generated in the on-line forum; a database to store the non-cartographic information; and a ranking module configured to prioritize a plurality of geospatial entities for display on a map using the non-cartographic information and according to a ranking mechanism. | 1. A computer-implemented geographic information system (GIS), including a processor and memory, comprising: a network interface to receive non-cartographic information about a plurality of geospatial entities, each geospatial entity defined in an on-line forum and each geospatial entity having a geometry and located at a physical location, wherein the information is generated in the on-line forum; a database to store the non-cartographic information; and a ranking module configured to prioritize a plurality of geospatial entities for display on a map using the non-cartographic information and according to a ranking mechanism. 4. The system of claim 1 , wherein the ranking module is further configured to prioritize the plurality of geospatial entities for display using one of: an age attribute of the geospatial entity, a stature attribute of the geospatial entity, and an importance attribute of the geospatial entity. | 0.618863 |
8,768,911 | 10 | 14 | 10. A computer system comprising: a) a central processing unit; b) random access memory; c) non-volatile memory, the non-volatile memory containing computer software code programmed to operate on the central processing unit, the software code programmed to: i) populate a database with data about quoting documents that cite quoted documents as a source for quoted text portions, wherein the data identifies which quoting document quotes each quoted text portion in the quoted document as well as a location for each quoted text portion within the quoted document; ii) receive at the computer system a query from a user computer concerning a particular quoted document; iii) query the database for quoted text portions in the particular quoted document; iv) receive results from the database including a location for each of a plurality of quoted text portions in the particular quoted document that were quoted by a pluralityotin documents; and v) transmit to the user computer a new version of the particular quoted document visually distinguishing the plurality of quoted text portions and providing links to the plurality of quoting documents. | 10. A computer system comprising: a) a central processing unit; b) random access memory; c) non-volatile memory, the non-volatile memory containing computer software code programmed to operate on the central processing unit, the software code programmed to: i) populate a database with data about quoting documents that cite quoted documents as a source for quoted text portions, wherein the data identifies which quoting document quotes each quoted text portion in the quoted document as well as a location for each quoted text portion within the quoted document; ii) receive at the computer system a query from a user computer concerning a particular quoted document; iii) query the database for quoted text portions in the particular quoted document; iv) receive results from the database including a location for each of a plurality of quoted text portions in the particular quoted document that were quoted by a pluralityotin documents; and v) transmit to the user computer a new version of the particular quoted document visually distinguishing the plurality of quoted text portions and providing links to the plurality of quoting documents. 14. The computer system of claim 10 , wherein the software code is further programmed to: vi) receive at the computer system a first indication that a first link to the plurality of quoting documents has been selected; vii) generate at the computer system a list of the plurality of quoting documents for the particular quoted document including a second link to a particular quoting document; viii) receive at the computer system a second indication that the second link to the particular quoting document has been selected; ix) transmit a new version of the particular quoting document visually distinguishing at least one quoted text portion and providing a third link back to the new version of the particular quoted document. | 0.649038 |
7,657,544 | 6 | 11 | 6. An apparatus for presenting information of document files, the document files being stored on a document database where the document files are categorized and stored into any of predefined category bins, the apparatus comprising: a selecting section that selects at least some of document files stored on the document database and categorized in object category bins as representative document files for each of the object category bins, the object category bins being at least part of the category bins, the representative document files comprising a proper subset of the document files categorized in each respective object category bin associated with the representative document files; and a presenting section that presents information extracted from the selected representative document files to a user when the user queries contents of an object category bin of the object category bins without entering the object category bin, wherein the presenting section presents a guide caption describing keywords extracted from a file and obtained by a document summarizing process, and the presenting section increases a highlight contrast to a background for guide captions of files having greater weights regarding access histories. | 6. An apparatus for presenting information of document files, the document files being stored on a document database where the document files are categorized and stored into any of predefined category bins, the apparatus comprising: a selecting section that selects at least some of document files stored on the document database and categorized in object category bins as representative document files for each of the object category bins, the object category bins being at least part of the category bins, the representative document files comprising a proper subset of the document files categorized in each respective object category bin associated with the representative document files; and a presenting section that presents information extracted from the selected representative document files to a user when the user queries contents of an object category bin of the object category bins without entering the object category bin, wherein the presenting section presents a guide caption describing keywords extracted from a file and obtained by a document summarizing process, and the presenting section increases a highlight contrast to a background for guide captions of files having greater weights regarding access histories. 11. The apparatus for presenting information of document files according to claim 6 , wherein the representative document files are selected in terms of a number of times a file has been accessed for a certain time period. | 0.845404 |
8,789,015 | 10 | 11 | 10. A method comprising: ascertaining one or more languages selected by developer for translations of an application under development using an IDE; and during a build of the application via the IDE, creating updated localization files for each of the selected languages in a designated file format established to facilitate translations used to generate a single multilingual resource file for the application, wherein creation of the updated localization files comprises: producing a log file in a system format that describes resources for the build of the application; parsing the log file to identify and extract localizable resources in the build; converting the extracted localizable resources to generate a source resource file for the build in the designated file format; and merging the source resource file with target localization files included in the project for the one or more languages to form localization files that are updated for the build, wherein the merging comprises, for each target localization file: comparing resources between the source resource file and the target localization file to find matching resources; and updating the resources in the source resource file with matching resources from the target localization file to form an updated version of the target localization file that incorporates modifications to resources for the build from the source resource file and previously translated resources from the target localization file. | 10. A method comprising: ascertaining one or more languages selected by developer for translations of an application under development using an IDE; and during a build of the application via the IDE, creating updated localization files for each of the selected languages in a designated file format established to facilitate translations used to generate a single multilingual resource file for the application, wherein creation of the updated localization files comprises: producing a log file in a system format that describes resources for the build of the application; parsing the log file to identify and extract localizable resources in the build; converting the extracted localizable resources to generate a source resource file for the build in the designated file format; and merging the source resource file with target localization files included in the project for the one or more languages to form localization files that are updated for the build, wherein the merging comprises, for each target localization file: comparing resources between the source resource file and the target localization file to find matching resources; and updating the resources in the source resource file with matching resources from the target localization file to form an updated version of the target localization file that incorporates modifications to resources for the build from the source resource file and previously translated resources from the target localization file. 11. The method of claim 10 further comprising, via the IDE: outputting the updated localization files that are created to enable asynchronous translations via one or more translation sources; obtaining translations of localization files that are available during the build; and generating the single multilingual resource file for the build of the application based on the available translations that are obtained. | 0.700434 |
8,793,264 | 12 | 13 | 12. The computer system of claim 11 , wherein the provenance-based-on-document-content-determiner is configured for determining an initial matrix of probabilities based on the Markov chain and multiplying the initial matrix by itself, to create a plurality of matrixes wherein each matrix is considered a generation, until a matrix of probabilities is achieved, wherein the values from the matrix of probabilities is similar to the values from the previous generation matrix. | 12. The computer system of claim 11 , wherein the provenance-based-on-document-content-determiner is configured for determining an initial matrix of probabilities based on the Markov chain and multiplying the initial matrix by itself, to create a plurality of matrixes wherein each matrix is considered a generation, until a matrix of probabilities is achieved, wherein the values from the matrix of probabilities is similar to the values from the previous generation matrix. 13. The computer system of claim 12 , wherein documents are represented by the rows and columns of the initial matrix and each probability is associated with a particular row and column pair of the initial matrix. | 0.846098 |
9,064,244 | 1 | 11 | 1. A computer system having a graphical user interface including a display and a user interface selection device, the computer system performing a method of configuring an out of office message for a user's email account, the user being a member of a domain, the method comprising: receiving an indication to activate an out of office messaging function; receiving an indication of an out of office message in a setup window; receiving a first selection to send the out of office message only to a first group of recipients, wherein the first group of recipients are contacts of the user; upon exiting the setup window, displaying an indication that the out of office function is active; receiving an email from a first recipient who is not a member of the first group of recipients; and not sending the out of office message to the first recipient. | 1. A computer system having a graphical user interface including a display and a user interface selection device, the computer system performing a method of configuring an out of office message for a user's email account, the user being a member of a domain, the method comprising: receiving an indication to activate an out of office messaging function; receiving an indication of an out of office message in a setup window; receiving a first selection to send the out of office message only to a first group of recipients, wherein the first group of recipients are contacts of the user; upon exiting the setup window, displaying an indication that the out of office function is active; receiving an email from a first recipient who is not a member of the first group of recipients; and not sending the out of office message to the first recipient. 11. The computer system of claim 1 , wherein the indication is selected from the group consisting of: a banner, a box, and a balloon. | 0.838592 |
5,574,802 | 1 | 7 | 1. A method for logically identifying document elements in a document image, comprising the steps of: storing a set of at least one predetermined structural model, each structural model in the set defining relationships between document elements of a corresponding model document; identifying major background regions in the document image: defining relationships between the major background regions in the document image; converting the defined relationships of the major background regions in the document image into nested one-dimensional relationships by selecting coextensive major background regions extending perpendicular to a direction of each level of the nested one-dimensional relationships; hierarchically comparing the nested one-dimensional relationships of the document image with the relationships of each structural model in the set; determining if the nested one-dimensional relationships of the document image match the relationships of at least one structural model in the set; selecting at least one matching structural model if the nested one-dimensional relationships of the document image match the relationship of the at least one structural model in the set to form a matching set of at least one structural model; identifying a most similar matching structural model from the matching set most similar to the relationships in the document image; and assigning appropriate logical tags to identify at least one of the document elements between the major background regions of the document image based on predetermined logical tags assigned to the document elements of the most similar matching structural model. | 1. A method for logically identifying document elements in a document image, comprising the steps of: storing a set of at least one predetermined structural model, each structural model in the set defining relationships between document elements of a corresponding model document; identifying major background regions in the document image: defining relationships between the major background regions in the document image; converting the defined relationships of the major background regions in the document image into nested one-dimensional relationships by selecting coextensive major background regions extending perpendicular to a direction of each level of the nested one-dimensional relationships; hierarchically comparing the nested one-dimensional relationships of the document image with the relationships of each structural model in the set; determining if the nested one-dimensional relationships of the document image match the relationships of at least one structural model in the set; selecting at least one matching structural model if the nested one-dimensional relationships of the document image match the relationship of the at least one structural model in the set to form a matching set of at least one structural model; identifying a most similar matching structural model from the matching set most similar to the relationships in the document image; and assigning appropriate logical tags to identify at least one of the document elements between the major background regions of the document image based on predetermined logical tags assigned to the document elements of the most similar matching structural model. 7. The method of claim 1, wherein the relationships define sizes of the major background regions. | 0.966962 |
8,941,589 | 81 | 82 | 81. The system of claim 78 , wherein the at least one sensor measures in real-time display device poses. | 81. The system of claim 78 , wherein the at least one sensor measures in real-time display device poses. 82. The system of claim 81 , wherein the ATC automatically adapts to changes in the display device poses. | 0.955584 |
8,811,638 | 24 | 25 | 24. The method of claim 23 , wherein the receiving context information related to the user includes: receiving an indication of a location of the user; and determining a plurality of persons with whom the user commonly interacts at the location. | 24. The method of claim 23 , wherein the receiving context information related to the user includes: receiving an indication of a location of the user; and determining a plurality of persons with whom the user commonly interacts at the location. 25. The method of claim 24 , wherein the receiving an indication of a location of the user includes: receiving a GPS location from a mobile device of the user, receiving a network identifier that is associated with the location, receiving an indication that the user is at a workplace, and/or receiving an indication that the user is at a residence. | 0.860064 |
8,764,556 | 6 | 7 | 6. The method of claim 2 wherein said step of allowing for the display of odds to be manipulated provides customizable casino columns. | 6. The method of claim 2 wherein said step of allowing for the display of odds to be manipulated provides customizable casino columns. 7. The method of claim 6 wherein said casino columns can be moved by a click and drag method. | 0.963212 |
9,942,733 | 2 | 9 | 2. The method of claim 1 , further comprising playing by the first wireless communication device an alert message it receives over a wireless network from an event notification system, and the user of the second wireless communication device uttering a response to the alert message that the second wireless communication device transmits in a message over the short range wireless communication link to the alert response message application running in the first wireless communication device; detecting by the alert response message application that the response utterance to the played alert message is the same as the stored training message response utterance; and generating an alert response message that has the response code, and not the response utterance to the played alert message, and sending the alert response message to the event notification system. | 2. The method of claim 1 , further comprising playing by the first wireless communication device an alert message it receives over a wireless network from an event notification system, and the user of the second wireless communication device uttering a response to the alert message that the second wireless communication device transmits in a message over the short range wireless communication link to the alert response message application running in the first wireless communication device; detecting by the alert response message application that the response utterance to the played alert message is the same as the stored training message response utterance; and generating an alert response message that has the response code, and not the response utterance to the played alert message, and sending the alert response message to the event notification system. 9. The method of claim 2 , wherein an action taken by the event notification system depends upon the particular response code in the alert response message received from the first wireless communication device. | 0.929054 |
8,253,694 | 5 | 6 | 5. The method of claim 1 , wherein the first objects are circumferentially arranged to define a rectangle. | 5. The method of claim 1 , wherein the first objects are circumferentially arranged to define a rectangle. 6. The method of claim 5 , further comprising defining first character groups in the circumferentially arranged first objects, each first character group consisting of a plurality of characters according to a letter grouping based on the language rule. | 0.912742 |
6,053,951 | 1 | 25 | 1. A computer-implemented method for automatically generating graphical code for a graphical program, wherein the graphical program performs a man/machine interface function for monitoring and/or controlling a process, wherein the method operates in a computer system including a display screen, the method comprising: configuring a front panel interface on the display screen in response to user input, wherein the front panel interface is useable for monitoring and/or controlling the process, wherein said configuring includes selecting at least one front panel object which represents input to or output from the graphical program; associating the at least one front panel object with at least one data value in the process; configuring one or more parameter values in response to user input, wherein said one or more parameter values indicate a desired functionality of the graphical program; automatically selecting a graphical code portion in response to the at least one front panel object, wherein said selected graphical code portion corresponds to said at least one front panel object; automatically configuring said graphical code portion with said one or more parameter values to produce a configured graphical code portion, wherein said configured graphical code portion comprises at least a portion of the graphical program. | 1. A computer-implemented method for automatically generating graphical code for a graphical program, wherein the graphical program performs a man/machine interface function for monitoring and/or controlling a process, wherein the method operates in a computer system including a display screen, the method comprising: configuring a front panel interface on the display screen in response to user input, wherein the front panel interface is useable for monitoring and/or controlling the process, wherein said configuring includes selecting at least one front panel object which represents input to or output from the graphical program; associating the at least one front panel object with at least one data value in the process; configuring one or more parameter values in response to user input, wherein said one or more parameter values indicate a desired functionality of the graphical program; automatically selecting a graphical code portion in response to the at least one front panel object, wherein said selected graphical code portion corresponds to said at least one front panel object; automatically configuring said graphical code portion with said one or more parameter values to produce a configured graphical code portion, wherein said configured graphical code portion comprises at least a portion of the graphical program. 25. The method of claim 1, wherein said one or more parameter values include a time period value for polling the data value. | 0.939689 |
9,165,305 | 1 | 3 | 1. A method for generating a model of a user, the method comprising: generating global scores for content items from heterogeneous data sources that are normalized for the heterogeneous data sources; receiving user activities on a social network server for the user, the user activities relating to at least one of the content items; generating a log of the user activities for a content item by joining the user activities for the content item; expanding attributes of the log by at least one of content and the user based on aggregating responses from the user to features of the content items and profile data of the user and associating the features of the content items with the profile data; generating an expanded log based on expanding the attributes of the log; generating the model based on the expanded log; identifying candidate items for the user based on the global scores for the content items; generating a stream of content comprising selected items based on the candidate items and the model; providing an explanation for why a selected item is included in the stream of content, the explanation including a user interest associated with the selected item; generating a feedback mechanism for display with the explanation; receiving a user's rejection of the user interest through the feedback mechanism; training the model using the user's rejection to the user interest and the user's recent activity that identifies a recent interest for the user; and dynamically updating the model based on training the model. | 1. A method for generating a model of a user, the method comprising: generating global scores for content items from heterogeneous data sources that are normalized for the heterogeneous data sources; receiving user activities on a social network server for the user, the user activities relating to at least one of the content items; generating a log of the user activities for a content item by joining the user activities for the content item; expanding attributes of the log by at least one of content and the user based on aggregating responses from the user to features of the content items and profile data of the user and associating the features of the content items with the profile data; generating an expanded log based on expanding the attributes of the log; generating the model based on the expanded log; identifying candidate items for the user based on the global scores for the content items; generating a stream of content comprising selected items based on the candidate items and the model; providing an explanation for why a selected item is included in the stream of content, the explanation including a user interest associated with the selected item; generating a feedback mechanism for display with the explanation; receiving a user's rejection of the user interest through the feedback mechanism; training the model using the user's rejection to the user interest and the user's recent activity that identifies a recent interest for the user; and dynamically updating the model based on training the model. 3. The method of claim 1 , further comprising: identifying the content items in the log; retrieving the features associated with the content items; and wherein the responses from the user are aggregated to the retrieved features. | 0.788745 |
10,158,639 | 15 | 16 | 15. A data loss prevention engine, comprising: a memory unit configured to store a plurality of redacted credit report templates; a processor configured to: generate the plurality of redacted credit report templates, each of the plurality of redacted credit report templates matching a format of a respective known credit report and not containing personal information, by removing the personal information contained in the respective known credit report; generate a detection rule specifying one or more parameters that indicate which portions of sent email messages that are addressed to parties outside of the local organization when compared to one or more of the plurality of redacted credit report templates exceed a minimum document exposure threshold; detect whether a sent email addressed to a party outside of the local organization contains an unredacted credit report containing personal information in accordance with the one or more parameters specified by the detection rule; and when the sent email contains an unredacted credit report, cause the sent email to be re-routed within the local organization to prevent the sent email from being routed outside of the organization as addressed. | 15. A data loss prevention engine, comprising: a memory unit configured to store a plurality of redacted credit report templates; a processor configured to: generate the plurality of redacted credit report templates, each of the plurality of redacted credit report templates matching a format of a respective known credit report and not containing personal information, by removing the personal information contained in the respective known credit report; generate a detection rule specifying one or more parameters that indicate which portions of sent email messages that are addressed to parties outside of the local organization when compared to one or more of the plurality of redacted credit report templates exceed a minimum document exposure threshold; detect whether a sent email addressed to a party outside of the local organization contains an unredacted credit report containing personal information in accordance with the one or more parameters specified by the detection rule; and when the sent email contains an unredacted credit report, cause the sent email to be re-routed within the local organization to prevent the sent email from being routed outside of the organization as addressed. 16. The data loss prevention engine of claim 15 , wherein the processor is further configured to generate a redacted credit report template from among the plurality of redacted credit report templates by: opening an unredacted credit report, which contains personal information and is formatted in portable document format (PDF), via a first software application; removing the personal information contained in the unredacted credit report via the first software application to generate a redacted credit report in PDF; saving the redacted credit report in PDF via the first software application; opening the redacted credit report in PDF with a second software application, the second software application being associated with word processing functionality, wherein upon opening the redacted credit report with the second software application, the second software application causes the redacted credit report in PDF to be reflowed and formatted into an editable word processing file; and editing and saving the redacted credit report with the second software application to generate the redacted credit report template. | 0.602128 |
9,727,933 | 1 | 5 | 1. A method comprising: (a) providing a interactive three-dimensional reserve study to a user system, wherein the interactive three-dimensional reserve study is rendered on a display of the user system, wherein the interactive three-dimensional reserve study comprises a three-dimensional line art diagram of a Common Interest Development (CID), a first graphical element that corresponds to a first reserve component of the CID, and a second graphical element that corresponds to a second reserve component of the CID, wherein the first reserve component is different from the second reserve component, wherein the first graphical element includes a first amount of color or shading that is overlaid above a first portion of the three-dimensional line art diagram of the CID at a first location, wherein the first graphical element is configured to respond to user input, wherein the second graphical element includes a second amount of color or shading that is overlaid above a second portion of the three-dimensional line art diagram of the CID at a second location, wherein the second graphical element is configured to respond to user input, and wherein the first location is distinct from the second location; (b) in response to detecting a first input event on the first graphical element, presenting a first amount of reserve component information of the first reserve component on the display of the user system; and (c) in response to detecting a second input event on the second graphical element, presenting a second amount of reserve component information of the second reserve component on the display of the user system, wherein the interactive three-dimensional reserve study is provided on a single web page. | 1. A method comprising: (a) providing a interactive three-dimensional reserve study to a user system, wherein the interactive three-dimensional reserve study is rendered on a display of the user system, wherein the interactive three-dimensional reserve study comprises a three-dimensional line art diagram of a Common Interest Development (CID), a first graphical element that corresponds to a first reserve component of the CID, and a second graphical element that corresponds to a second reserve component of the CID, wherein the first reserve component is different from the second reserve component, wherein the first graphical element includes a first amount of color or shading that is overlaid above a first portion of the three-dimensional line art diagram of the CID at a first location, wherein the first graphical element is configured to respond to user input, wherein the second graphical element includes a second amount of color or shading that is overlaid above a second portion of the three-dimensional line art diagram of the CID at a second location, wherein the second graphical element is configured to respond to user input, and wherein the first location is distinct from the second location; (b) in response to detecting a first input event on the first graphical element, presenting a first amount of reserve component information of the first reserve component on the display of the user system; and (c) in response to detecting a second input event on the second graphical element, presenting a second amount of reserve component information of the second reserve component on the display of the user system, wherein the interactive three-dimensional reserve study is provided on a single web page. 5. The method of claim 1 , wherein only one of the first amount of reserve component information or the second amount of reserve component information is presented on the display at a time. | 0.878535 |
9,069,882 | 17 | 20 | 17. A computer program product stored on a non-transitory computer readable storage medium, which, when executed performs a method for retrieving data, comprising: analyzing each query term of a format-independent query for data retrieval to determine whether the query term corresponds to at least one of: a domain keyword or a formula designator; wherein in the case that at least one domain keyword is retrieved as corresponding to the query term, mapping the retrieved domain keyword to the query term such that the at least one retrieved domain keyword is substituted for the query term in the format-independent query, wherein in the case that at least one formula designator is retrieved as corresponding to the query term, mapping a set of formula terms associated with the retrieved formula designator to the query term such that the at least one retrieved formula designator is substituted for the query term in the format-independent query, wherein in the case that both at least one domain keyword and at least one formula designator are retrieved as corresponding to the query term, mapping the set of formula terms associated with the at least one of the retrieved formula designators to the at least one of the retrieved domain keywords of the query term; creating a unique weighted boosting for each of the retrieved domain keywords, the retrieved formula designators, and the mapped formula terms; and searching a dataset using a structured search query that includes all weighted boosted terms and any remaining query terms that do not correspond to one of the weighted boosted terms. | 17. A computer program product stored on a non-transitory computer readable storage medium, which, when executed performs a method for retrieving data, comprising: analyzing each query term of a format-independent query for data retrieval to determine whether the query term corresponds to at least one of: a domain keyword or a formula designator; wherein in the case that at least one domain keyword is retrieved as corresponding to the query term, mapping the retrieved domain keyword to the query term such that the at least one retrieved domain keyword is substituted for the query term in the format-independent query, wherein in the case that at least one formula designator is retrieved as corresponding to the query term, mapping a set of formula terms associated with the retrieved formula designator to the query term such that the at least one retrieved formula designator is substituted for the query term in the format-independent query, wherein in the case that both at least one domain keyword and at least one formula designator are retrieved as corresponding to the query term, mapping the set of formula terms associated with the at least one of the retrieved formula designators to the at least one of the retrieved domain keywords of the query term; creating a unique weighted boosting for each of the retrieved domain keywords, the retrieved formula designators, and the mapped formula terms; and searching a dataset using a structured search query that includes all weighted boosted terms and any remaining query terms that do not correspond to one of the weighted boosted terms. 20. The program product of claim 17 , the analyzing further comprising: searching a business domain vocabulary to determine whether the query term corresponds to a domain keyword; and searching at least one of the business domain vocabulary or a statistical vocabulary to determine whether the query term corresponds to a formula designator and returning a structural mapping that includes one or more constituent formula terms if a match is found. | 0.747463 |
8,442,972 | 1 | 16 | 1. A computer-implemented method comprising: constructing an association graph that includes one or more terms as vertices linked by edges, which edges have respective edge scores that represent respective strengths of association of the respective vertices linked thereby; receiving from a user a search query that comprises one or more of the terms of the association graph; responsively to the search query, generating, using the association graph, refinement options that comprise respective terms of the association graph, and presenting information to the user, including the refinement options for optional addition to the search query; identifying a portion of the refinement options, and corresponding terms, that the user did not select; using the association graph, assigning respective ranking scores to search results generated responsively to the search query, including lowering one or more of the ranking scores of the respective search results that are characterized by the non-selected portion of the refinement options, by damping the edge score of an edge of the association graph between two of the vertices respectively representing two of the non-selected terms; ranking the search results according to the ranking scores; and presenting the ranked search results to the user. | 1. A computer-implemented method comprising: constructing an association graph that includes one or more terms as vertices linked by edges, which edges have respective edge scores that represent respective strengths of association of the respective vertices linked thereby; receiving from a user a search query that comprises one or more of the terms of the association graph; responsively to the search query, generating, using the association graph, refinement options that comprise respective terms of the association graph, and presenting information to the user, including the refinement options for optional addition to the search query; identifying a portion of the refinement options, and corresponding terms, that the user did not select; using the association graph, assigning respective ranking scores to search results generated responsively to the search query, including lowering one or more of the ranking scores of the respective search results that are characterized by the non-selected portion of the refinement options, by damping the edge score of an edge of the association graph between two of the vertices respectively representing two of the non-selected terms; ranking the search results according to the ranking scores; and presenting the ranked search results to the user. 16. The method according to claim 1 , wherein generating the refinement options comprises generating: (a) primary refinement options that are most closely related to the search query, and (b) for at least a portion of the primary refinement options, secondary refinement options, which are more distantly related to the search query, and are also related to their associated primary refinement option, and wherein presenting the refinement options comprises presenting the primary refinement options, and the secondary refinement options for the at least the portion of the primary refinement options. | 0.687305 |
8,620,686 | 1 | 8 | 1. A computer assisted method for accelerated planning and dynamic graphical mapping of a contextual awareness and creating an integrated composite decision plan using a plurality of client devices, an administrative processor and an administrative data storage connected to a network, and a plurality of computer instructions, the computer assisted method comprising: a. using an administrative data storage connected to an administrative processor and a network, and a plurality of client devices wherein the client devices are selected from the group: a cell phone, a laptop, a computer, and a tablet, to provide input when connected to the network to enable the administrative processor to perform a computer assisted geospatial analysis and create an integrated composite decision plan; b. using computer instructions in the administrative data storage to instruct the administrative processor to create a system interface; wherein the computer instructions simultaneously connect together the plurality of client devices, and a third party provider via the network to computer instructions in the administrative data storage using the administrative processor to register a client device and provide a system interface to request and store data from the third party provider; c. using computer instructions in the administrative data storage to instruct the administrative processor and computer instructions in the system interface to instruct the administrative processor to identify a contextual awareness; wherein the computer instructions identify the contextual awareness using key words, classification codes, and priority codes, and computer instructions that list situational awareness linked to the key word, classification code, and priority codes using a library of contextual awareness stored in the administrative data storage; d. using computer instructions in the administrative data storage to instruct the administrative processor and computer instructions in the client devices to instruct the administrative processor to collect raw data on the contextual awareness; wherein the computer instructions to collect the raw data comprise information from a member of the group: transportation facilities, health care facilities, first responder facilities, educational facilities, and combinations thereof; e. using computer instructions in the administrative data storage to instruct the administrative processor to store the collected raw data in the administrative data storage linked to the identified contextual awareness using the plurality of client devices in a plurality of client device protocols simultaneously; and f. using computer instructions in the administrative data storage to instruct the administrative processor to perform geospatial analysis on the collected raw data for the identified contextual awareness using the library of contextual awareness; wherein the computer instructions to perform the geospatial analysis consist of: (i) computer instructions to instruct the administrative processor to request compliance standards from a third party provider via the network for the identified contextual awareness, wherein the compliance standards from the third party provider are in a dynamic electronic library of searchable fields including best practices for a contextual awareness, materials specification standards for the contextual awareness, government standards for the contextual awareness from codes of federal regulation, government standards for the contextual awareness from other state, municipal, regulations, and community promulgated standards for the contextual awareness; (ii) computer instructions to instruct the administrative processor to form data specifications to achieve contextual awareness compliance for the identified contextual awareness wherein the computer instructions provide a projection of need for a geographic area for over a defined period of time for the identified contextual awareness using a projected use for facilities, equipment, disposable materials, personnel, transportation and related resources related to the identified contextual awareness; (iii) computer instructions to instruct the administrative processor to match the collected raw data to the data specifications for compliance enabling the identification of a location specific to existing facilities, existing equipment, existing disposable materials, existing personnel, existing transportation, and existing other related resources related to the identified contextual awareness for use in achieving contextual awareness compliance with the data specifications; (iv) computer instructions to instruct the administrative processor to perform data standardization, data checking, and data correction on the collected raw data to form cleaned data; and (v) computer instructions to instruct the administrative processor to use the cleaned data with the data specifications for compliance to calculate quantity of facilities needed and type of facilities needed, for the geographic area given the identified contextual awareness, quantity of equipment needed, quantity of disposable materials needed, quantity of personnel needed, and transportation needed for the geographic area, to meet data specifications for compliance for the identified contextual awareness; wherein the calculations are determined using computer instructions that calculate predictive dynamic decision plan modeling for the identified contextual awareness consisting of: a. computer instructions to instruct the administrative processor to identify single data points from the cleaned data for the geographic area; b. computer instructions to instruct the administrative processor to identify multiple internal data points from the cleaned data, wherein the multiple data points include geo-demographic zones, geographic zones, and zones formed using geographic spatial relationships; c. computer instructions to instruct the administrative processor to identify patterns of contextual awareness from the cleaned data wherein the patterns consist of concentrations of different contextual awareness, quantities of contextual awareness, and prevalence of contextual awareness by the geographic area; d. computer instructions to instruct the administrative processor to identify recurrences over time of the patterns of contextual awareness, wherein the recurrences of contextual awareness over time consist of: (a) frequency of contextual awareness, (b) duration of contextual awareness, and (c) past, present or future direction of events related to contextual awareness; e. computer instructions to instruct the administrative processor to perform issue disassembly and reassembly over time analysis; f. computer instructions to instruct the administrative processor to identify stakeholders which interact with one of the identified contextual awareness; g. computer instructions to instruct the administrative processor to sort contextual awarenesses chronologically to identify external issues related to contextual awareness compliance, using the library of contextual awareness in the administrative data storage; h. computer instructions to instruct the administrative processor to produce visual outputs from the administrative data storage to display predictive trends and patterns for the contextual awareness compliance using the cleaned data; i. computer instructions to instruct the administrative processor to transmit to stakeholders for collaborative decision making: tasks to reach contextual awareness compliance for each contextual awareness; and to identify resources required for tasks to reach contextual awareness compliance for each contextual awareness; and j. computer instructions to instruct the administrative processor to enable the stakeholders to create an integrated, composite decision plan with geographically sorted and prioritized actions identified by task, by quantity of the stakeholders needed, and by the resources needed to achieve contextual awareness compliance creating an integrated composite decision plan for: geographically defined facilities, equipment, disposable materials, personnel, and transportation. | 1. A computer assisted method for accelerated planning and dynamic graphical mapping of a contextual awareness and creating an integrated composite decision plan using a plurality of client devices, an administrative processor and an administrative data storage connected to a network, and a plurality of computer instructions, the computer assisted method comprising: a. using an administrative data storage connected to an administrative processor and a network, and a plurality of client devices wherein the client devices are selected from the group: a cell phone, a laptop, a computer, and a tablet, to provide input when connected to the network to enable the administrative processor to perform a computer assisted geospatial analysis and create an integrated composite decision plan; b. using computer instructions in the administrative data storage to instruct the administrative processor to create a system interface; wherein the computer instructions simultaneously connect together the plurality of client devices, and a third party provider via the network to computer instructions in the administrative data storage using the administrative processor to register a client device and provide a system interface to request and store data from the third party provider; c. using computer instructions in the administrative data storage to instruct the administrative processor and computer instructions in the system interface to instruct the administrative processor to identify a contextual awareness; wherein the computer instructions identify the contextual awareness using key words, classification codes, and priority codes, and computer instructions that list situational awareness linked to the key word, classification code, and priority codes using a library of contextual awareness stored in the administrative data storage; d. using computer instructions in the administrative data storage to instruct the administrative processor and computer instructions in the client devices to instruct the administrative processor to collect raw data on the contextual awareness; wherein the computer instructions to collect the raw data comprise information from a member of the group: transportation facilities, health care facilities, first responder facilities, educational facilities, and combinations thereof; e. using computer instructions in the administrative data storage to instruct the administrative processor to store the collected raw data in the administrative data storage linked to the identified contextual awareness using the plurality of client devices in a plurality of client device protocols simultaneously; and f. using computer instructions in the administrative data storage to instruct the administrative processor to perform geospatial analysis on the collected raw data for the identified contextual awareness using the library of contextual awareness; wherein the computer instructions to perform the geospatial analysis consist of: (i) computer instructions to instruct the administrative processor to request compliance standards from a third party provider via the network for the identified contextual awareness, wherein the compliance standards from the third party provider are in a dynamic electronic library of searchable fields including best practices for a contextual awareness, materials specification standards for the contextual awareness, government standards for the contextual awareness from codes of federal regulation, government standards for the contextual awareness from other state, municipal, regulations, and community promulgated standards for the contextual awareness; (ii) computer instructions to instruct the administrative processor to form data specifications to achieve contextual awareness compliance for the identified contextual awareness wherein the computer instructions provide a projection of need for a geographic area for over a defined period of time for the identified contextual awareness using a projected use for facilities, equipment, disposable materials, personnel, transportation and related resources related to the identified contextual awareness; (iii) computer instructions to instruct the administrative processor to match the collected raw data to the data specifications for compliance enabling the identification of a location specific to existing facilities, existing equipment, existing disposable materials, existing personnel, existing transportation, and existing other related resources related to the identified contextual awareness for use in achieving contextual awareness compliance with the data specifications; (iv) computer instructions to instruct the administrative processor to perform data standardization, data checking, and data correction on the collected raw data to form cleaned data; and (v) computer instructions to instruct the administrative processor to use the cleaned data with the data specifications for compliance to calculate quantity of facilities needed and type of facilities needed, for the geographic area given the identified contextual awareness, quantity of equipment needed, quantity of disposable materials needed, quantity of personnel needed, and transportation needed for the geographic area, to meet data specifications for compliance for the identified contextual awareness; wherein the calculations are determined using computer instructions that calculate predictive dynamic decision plan modeling for the identified contextual awareness consisting of: a. computer instructions to instruct the administrative processor to identify single data points from the cleaned data for the geographic area; b. computer instructions to instruct the administrative processor to identify multiple internal data points from the cleaned data, wherein the multiple data points include geo-demographic zones, geographic zones, and zones formed using geographic spatial relationships; c. computer instructions to instruct the administrative processor to identify patterns of contextual awareness from the cleaned data wherein the patterns consist of concentrations of different contextual awareness, quantities of contextual awareness, and prevalence of contextual awareness by the geographic area; d. computer instructions to instruct the administrative processor to identify recurrences over time of the patterns of contextual awareness, wherein the recurrences of contextual awareness over time consist of: (a) frequency of contextual awareness, (b) duration of contextual awareness, and (c) past, present or future direction of events related to contextual awareness; e. computer instructions to instruct the administrative processor to perform issue disassembly and reassembly over time analysis; f. computer instructions to instruct the administrative processor to identify stakeholders which interact with one of the identified contextual awareness; g. computer instructions to instruct the administrative processor to sort contextual awarenesses chronologically to identify external issues related to contextual awareness compliance, using the library of contextual awareness in the administrative data storage; h. computer instructions to instruct the administrative processor to produce visual outputs from the administrative data storage to display predictive trends and patterns for the contextual awareness compliance using the cleaned data; i. computer instructions to instruct the administrative processor to transmit to stakeholders for collaborative decision making: tasks to reach contextual awareness compliance for each contextual awareness; and to identify resources required for tasks to reach contextual awareness compliance for each contextual awareness; and j. computer instructions to instruct the administrative processor to enable the stakeholders to create an integrated, composite decision plan with geographically sorted and prioritized actions identified by task, by quantity of the stakeholders needed, and by the resources needed to achieve contextual awareness compliance creating an integrated composite decision plan for: geographically defined facilities, equipment, disposable materials, personnel, and transportation. 8. The method of claim 1 , wherein the computer instructions that list situational awareness use situational awarenesses from the library of contextual awareness which are economic awarenesses. | 0.77968 |
8,775,325 | 14 | 16 | 14. A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor for performing a method comprising: receiving, by a social networking computer system, an advertisement request from an advertiser to advertise using a social networking system; identifying an indication in the advertisement request of an action on an object, the action selectable by the advertiser from a plurality of actions on objects provided to the advertiser by the social networking computer system; identifying an indication in the advertisement request for providing a message to a viewing user that another user connected to the viewing user in the social networking system has performed the indicated action; determining, by the social networking computer system, that the identified action was taken on the object by another user connected to the viewing user; receiving, at the social networking computer system from a client device of the viewing user, a request for social networking information to be displayed in a web page that is within a domain of an external system that is different from a domain of the social networking system; selecting, by the social networking computer system, a story for the viewing user for display on the client device as a social advertisement, wherein: the story is sponsored by an advertiser and is based on the advertisement request received by the social networking computer system, and the story comprises information about the identified action taken on the object by the other user; and sending, by the social networking computer system, the social advertisement to the client device for display in the interface of the page of the web page of the external system. | 14. A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor for performing a method comprising: receiving, by a social networking computer system, an advertisement request from an advertiser to advertise using a social networking system; identifying an indication in the advertisement request of an action on an object, the action selectable by the advertiser from a plurality of actions on objects provided to the advertiser by the social networking computer system; identifying an indication in the advertisement request for providing a message to a viewing user that another user connected to the viewing user in the social networking system has performed the indicated action; determining, by the social networking computer system, that the identified action was taken on the object by another user connected to the viewing user; receiving, at the social networking computer system from a client device of the viewing user, a request for social networking information to be displayed in a web page that is within a domain of an external system that is different from a domain of the social networking system; selecting, by the social networking computer system, a story for the viewing user for display on the client device as a social advertisement, wherein: the story is sponsored by an advertiser and is based on the advertisement request received by the social networking computer system, and the story comprises information about the identified action taken on the object by the other user; and sending, by the social networking computer system, the social advertisement to the client device for display in the interface of the page of the web page of the external system. 16. The computer readable storage medium of claim 14 , wherein the web page comprises a bidirectional interface in which user interface elements from the domain of the social networking system and in which user interface elements from the domain of the external system can affect each other. | 0.725472 |
8,175,865 | 11 | 13 | 11. A text script generator for a corpus-based text-to-speech system configured with a computing device for text script searching and processing and a memory device for corpus storage, comprising: a search criteria selector constructed in said computing device for searching in a source corpus being stored in said memory device and having L sentences, and selecting N sentences with a best integrated efficiency as N best cases, L and N being natural numbers, N≦L; a performance index constructor constructed in said computing device and coupled to said search criteria selector, for providing covering rate and hit rate corresponding to all unit types in said source corpus; and a termination criteria detector constructed in said computing device and coupled to said search criteria selector, for generating a best case in the N traced cases as a text script upon detecting a termination criterion is reached; wherein said best integrated efficiency depends on a function of combining the covering rate efficiency of unit types, the hit rate efficiency of unit types, and the size of said text script. | 11. A text script generator for a corpus-based text-to-speech system configured with a computing device for text script searching and processing and a memory device for corpus storage, comprising: a search criteria selector constructed in said computing device for searching in a source corpus being stored in said memory device and having L sentences, and selecting N sentences with a best integrated efficiency as N best cases, L and N being natural numbers, N≦L; a performance index constructor constructed in said computing device and coupled to said search criteria selector, for providing covering rate and hit rate corresponding to all unit types in said source corpus; and a termination criteria detector constructed in said computing device and coupled to said search criteria selector, for generating a best case in the N traced cases as a text script upon detecting a termination criterion is reached; wherein said best integrated efficiency depends on a function of combining the covering rate efficiency of unit types, the hit rate efficiency of unit types, and the size of said text script. 13. The text script generator for a corpus-based text-to-speech system according to claim 11 , wherein said termination criterion is a function of at least one of threshold for text script size, covering rate of unit types, hit rate of unit types, and integrated rate. | 0.719078 |
9,020,212 | 4 | 5 | 4. The computer-implemented method of claim 1 , and further comprising: comparing the label for each face cluster to the labels for other ones of the face clusters to identify candidate face clusters for merging. | 4. The computer-implemented method of claim 1 , and further comprising: comparing the label for each face cluster to the labels for other ones of the face clusters to identify candidate face clusters for merging. 5. The computer-implemented method of claim 4 , wherein two of the face clusters are identified as candidate face clusters if the two face clusters have matching labels. | 0.934799 |
5,559,898 | 19 | 20 | 19. The method of claim 1, further comprising before the initiating the element by element correlation calculation (s,t.sub.i) step, the additional step of: determining a series of sequential exclusion check points with intervals of element calculation cycles therebetween for comparing the cumulative bound to the exclusion threshold as the correlation calculation (s,t.sub.i) proceeds. | 19. The method of claim 1, further comprising before the initiating the element by element correlation calculation (s,t.sub.i) step, the additional step of: determining a series of sequential exclusion check points with intervals of element calculation cycles therebetween for comparing the cumulative bound to the exclusion threshold as the correlation calculation (s,t.sub.i) proceeds. 20. The method of claim 19, wherein the excluding step comprises the substeps of: checking for exclusion of the retrieved template at the first exclusion check point by comparing the cumulative bound with the exclusion threshold; excluding the retrieved template by terminating the element by element correlation calculation (s,t.sub.i) if the cumulative bound has crossed the exclusion threshold; and continuing the element by element correlation calculation (s,t.sub.i) to the next exclusion check point if the cumulative bound has not crossed the exclusion threshold. | 0.905692 |
9,230,025 | 1 | 2 | 1. A method for searching information, comprising: receiving current query data from a client; extracting generic attribute features of the current query data, wherein the generic attribute features are used for calculating a plurality of confidence degrees of the current query data that correspond to a plurality of categories, each of the confidence degrees indicating a degree of confidence that the current query data is associated with a respective one of the plurality of categories; determining, using one or more computer processors, the plurality of confidence degrees of the current query data based at least in part on the generic attribute features; selecting, using one or more computer processors, a category based at least in part on the plurality of confidence degrees, the selected category being one of the plurality of categories and having a confidence degree higher than a confidence degree of another category; in response to selecting the category based at least in part on the plurality of confidence degrees, searching in the selected category for a search result that corresponds to the current query data; and returning the search result to the client. | 1. A method for searching information, comprising: receiving current query data from a client; extracting generic attribute features of the current query data, wherein the generic attribute features are used for calculating a plurality of confidence degrees of the current query data that correspond to a plurality of categories, each of the confidence degrees indicating a degree of confidence that the current query data is associated with a respective one of the plurality of categories; determining, using one or more computer processors, the plurality of confidence degrees of the current query data based at least in part on the generic attribute features; selecting, using one or more computer processors, a category based at least in part on the plurality of confidence degrees, the selected category being one of the plurality of categories and having a confidence degree higher than a confidence degree of another category; in response to selecting the category based at least in part on the plurality of confidence degrees, searching in the selected category for a search result that corresponds to the current query data; and returning the search result to the client. 2. The method of claim 1 , wherein the generic attribute features comprise a word-level feature that corresponds to a keyword in the current query data. | 0.864043 |
8,549,485 | 1 | 6 | 1. A computer-implemented method comprising: defining a first class, the first class being a concise expression class that comprises one or more objects; including the concise expression class in a second class that comprises one or more objects of the second class; executing, by a processor, an expression in a software application to evaluate an object of the second class to determine whether data associated with the object of the second class exists; returning results of the execution of the expression when data associated with the object of the second class exists within the software application; and returning an instance of an object of the concise expression class when data associated with the object of the second class does not exist within the software application, wherein when the concise expression class comprises an attribute of the object of the second class, an attribute of the returned instance of the object of the concise expression class corresponds to the attribute of the object of the second class. | 1. A computer-implemented method comprising: defining a first class, the first class being a concise expression class that comprises one or more objects; including the concise expression class in a second class that comprises one or more objects of the second class; executing, by a processor, an expression in a software application to evaluate an object of the second class to determine whether data associated with the object of the second class exists; returning results of the execution of the expression when data associated with the object of the second class exists within the software application; and returning an instance of an object of the concise expression class when data associated with the object of the second class does not exist within the software application, wherein when the concise expression class comprises an attribute of the object of the second class, an attribute of the returned instance of the object of the concise expression class corresponds to the attribute of the object of the second class. 6. The computer-implemented method of claim 1 , wherein execution of the expression to evaluate the object of the second class comprises accessing data in an object outside of the second class. | 0.759352 |
9,275,637 | 1 | 4 | 1. A computing system comprising: one or more processors; one or more computer-readable storage media storing computer-executable instructions; a speech recognition module maintained in the one or more computer-readable storage media and executed by the one or more processors to interpret a signal representing the audio input as one or more words; and a wake word evaluation module maintained in the one or more computer-readable storage media and executed by the one or more processors to: receive a plurality of candidate wake words for evaluation, wherein the plurality of candidate wake words comprises a first candidate wake word; obtain a corpus of text for evaluating the plurality of candidate wake words; obtain a corpus of audio data for evaluating the plurality of candidate wake words; perform speech recognition on the corpus of audio data using the speech recognition module to obtain speech recognition results; determine a plurality of values from wake word metrics for the first candidate wake word using at least one of the corpus of text or the speech recognition results, at least one of the plurality of values including a value indicative of an ease of pronouncing the first candidate word; determine an overall score for the first candidate wake word based at least in part on the plurality of values; and select a first wake word from the plurality of candidate wake words using the overall score. | 1. A computing system comprising: one or more processors; one or more computer-readable storage media storing computer-executable instructions; a speech recognition module maintained in the one or more computer-readable storage media and executed by the one or more processors to interpret a signal representing the audio input as one or more words; and a wake word evaluation module maintained in the one or more computer-readable storage media and executed by the one or more processors to: receive a plurality of candidate wake words for evaluation, wherein the plurality of candidate wake words comprises a first candidate wake word; obtain a corpus of text for evaluating the plurality of candidate wake words; obtain a corpus of audio data for evaluating the plurality of candidate wake words; perform speech recognition on the corpus of audio data using the speech recognition module to obtain speech recognition results; determine a plurality of values from wake word metrics for the first candidate wake word using at least one of the corpus of text or the speech recognition results, at least one of the plurality of values including a value indicative of an ease of pronouncing the first candidate word; determine an overall score for the first candidate wake word based at least in part on the plurality of values; and select a first wake word from the plurality of candidate wake words using the overall score. 4. The system as recited in claim 1 , wherein the plurality of wake word values for the first candidate wake word include a word frequency value that indicates a frequency of occurrence of the first candidate wake word in the corpus of text. | 0.778899 |
8,045,054 | 5 | 6 | 5. The method of claim 1 wherein the closed captioning information is provided to a plurality of customer equipment. | 5. The method of claim 1 wherein the closed captioning information is provided to a plurality of customer equipment. 6. The method of claim 5 wherein the customer equipment is located at different locations associated with different subscribers. | 0.920988 |
9,703,872 | 1 | 18 | 1. A method of automatically modifying text displayed on a graphical user interface by detecting offensive words in a string of words transmitted over a computer network, comprising: receiving and storing in a computer database, using one or more processors, a plurality of offensive words, wherein each respective offensive word in the plurality of offensive words is associated with a severity score identifying the offensiveness of the respective word; receiving a string of words, using the one or more processors, wherein a candidate word is selected from the string of words; calculating, for each respective offensive word in the plurality of offensive words, using the one or more processors, a distance between the candidate word and the respective offensive word, the distance between the candidate word and the respective offensive word being a value on a scale having more than two possible values; calculating a plurality of offensiveness scores for the candidate word using the one or more processors, each offensiveness score in the plurality of offensiveness scores based upon (i) the calculated distance between the candidate word and an offensive word in the plurality of offensive words and (ii) the severity score of the offensive word, wherein a particular offensiveness score is based on a product of two terms, a first of the two terms being based on the calculated distance between the candidate word and a particular offensive word, and a second of the two terms being based on the severity score of the particular offensive word; determining, using the one or more processors, whether the candidate word is an offender word based on whether the highest offensiveness score in the plurality of offensiveness scores for the candidate word exceeds an offensiveness threshold value; and when the candidate word is determined to be an offender word, adjusting the candidate word, as stored in a computer-readable memory, prior to display of the adjusted candidate word on a graphical user interface. | 1. A method of automatically modifying text displayed on a graphical user interface by detecting offensive words in a string of words transmitted over a computer network, comprising: receiving and storing in a computer database, using one or more processors, a plurality of offensive words, wherein each respective offensive word in the plurality of offensive words is associated with a severity score identifying the offensiveness of the respective word; receiving a string of words, using the one or more processors, wherein a candidate word is selected from the string of words; calculating, for each respective offensive word in the plurality of offensive words, using the one or more processors, a distance between the candidate word and the respective offensive word, the distance between the candidate word and the respective offensive word being a value on a scale having more than two possible values; calculating a plurality of offensiveness scores for the candidate word using the one or more processors, each offensiveness score in the plurality of offensiveness scores based upon (i) the calculated distance between the candidate word and an offensive word in the plurality of offensive words and (ii) the severity score of the offensive word, wherein a particular offensiveness score is based on a product of two terms, a first of the two terms being based on the calculated distance between the candidate word and a particular offensive word, and a second of the two terms being based on the severity score of the particular offensive word; determining, using the one or more processors, whether the candidate word is an offender word based on whether the highest offensiveness score in the plurality of offensiveness scores for the candidate word exceeds an offensiveness threshold value; and when the candidate word is determined to be an offender word, adjusting the candidate word, as stored in a computer-readable memory, prior to display of the adjusted candidate word on a graphical user interface. 18. The method of claim 1 , wherein the plurality of offensive words and severity score identifying each of the plurality of offensive words are identified by a user, a service administrator, a third-party, or any combination thereof. | 0.808511 |
6,069,939 | 18 | 19 | 18. The method of claim 11, further comprising the step of enabling said calling party to select specific languages or dialects for delivery of audio prompts to specific phone numbers prior to said steps of determining dialed digits, selecting a language, and providing prompts. | 18. The method of claim 11, further comprising the step of enabling said calling party to select specific languages or dialects for delivery of audio prompts to specific phone numbers prior to said steps of determining dialed digits, selecting a language, and providing prompts. 19. The method of claim 18, wherein said enabling step includes the step of recording said calling party's determinations. | 0.87751 |
9,037,610 | 1 | 10 | 1. A method of providing access control (AC) in respect of a database storing information in tables and columns and being accessible from a user interface, which is configured to accept a database query and return information extracted from the database, the method being implemented at least in part at a policy enforcement point (PEP), which is located between the database and the user interface, and comprising i) intercepting, at the PEP, a database query; ii) assigning attribute values by performing at least one of the following: ii-a) assigning a resource attribute value based on at least one target table or target column appearing in the query; ii-b) assigning an action attribute value based on a construct type appearing in the query; and ii-c) assigning a subject and/or environment attribute value based on an identity of the user or on environment data; iii) providing an attributed-based AC policy defined in terms of said attributes iv) deriving an access condition, for which the AC policy, when evaluated for the attribute value(s) assigned in step ii), evaluates to permit access; and v) amending the database query by imposing said access condition and vi) transmitting the amended query to the database. | 1. A method of providing access control (AC) in respect of a database storing information in tables and columns and being accessible from a user interface, which is configured to accept a database query and return information extracted from the database, the method being implemented at least in part at a policy enforcement point (PEP), which is located between the database and the user interface, and comprising i) intercepting, at the PEP, a database query; ii) assigning attribute values by performing at least one of the following: ii-a) assigning a resource attribute value based on at least one target table or target column appearing in the query; ii-b) assigning an action attribute value based on a construct type appearing in the query; and ii-c) assigning a subject and/or environment attribute value based on an identity of the user or on environment data; iii) providing an attributed-based AC policy defined in terms of said attributes iv) deriving an access condition, for which the AC policy, when evaluated for the attribute value(s) assigned in step ii), evaluates to permit access; and v) amending the database query by imposing said access condition and vi) transmitting the amended query to the database. 10. The method of claim 1 , further comprising defining a column-to-attribute mapping, wherein: step iv) includes extracting an access condition containing a reference to a non-evaluated attribute; and step v) includes converting, using the column-to-attribute mapping, the reference to a non-evaluated attribute into a reference to at least one column in the database and imposing the access condition after this conversion, for thereby causing the database to substitute information retrieved from said at least one column for the non-evaluated attribute during processing of the amended query. | 0.692149 |
9,620,115 | 1 | 3 | 1. A method of operation of a content delivery system comprising: determining an utterance type of either receiving a command phrase or setting up a trigger phrase based on a travel context; receiving the command phrase based on the utterance type according to the travel context; determining a trigger match with a control unit based on the command phrase matching the trigger phrase representing a phrase for stopping a prompt; stopping the prompt according to a prompt type representing an interruptible prompt based on the trigger match; and continue playing the prompt representing the prompt type of an uninterruptible prompt even if the trigger phase is detected for controlling the prompt presented by a device. | 1. A method of operation of a content delivery system comprising: determining an utterance type of either receiving a command phrase or setting up a trigger phrase based on a travel context; receiving the command phrase based on the utterance type according to the travel context; determining a trigger match with a control unit based on the command phrase matching the trigger phrase representing a phrase for stopping a prompt; stopping the prompt according to a prompt type representing an interruptible prompt based on the trigger match; and continue playing the prompt representing the prompt type of an uninterruptible prompt even if the trigger phase is detected for controlling the prompt presented by a device. 3. The method as claimed in claim 1 wherein stopping the prompt includes stopping the prompt with a prompt pattern having a plurality of a prompt type. | 0.754072 |
8,990,241 | 3 | 4 | 3. The system of claim 1 , wherein the query recommendation module includes: a query segmenting module that is configured to segment the received user query into words and named entities; a topic matching module that is configured to sum probabilities assigned to the words and named entities of the received user query and stored in association with the identified topics to determine relevance values for the each of the identified topics with respect to the words and named entities of the received user query, to compare each of the relevance values to a threshold value associated with topic relevance, and to select topics from among the identified topics that are associated with relevance values that satisfy the threshold value. | 3. The system of claim 1 , wherein the query recommendation module includes: a query segmenting module that is configured to segment the received user query into words and named entities; a topic matching module that is configured to sum probabilities assigned to the words and named entities of the received user query and stored in association with the identified topics to determine relevance values for the each of the identified topics with respect to the words and named entities of the received user query, to compare each of the relevance values to a threshold value associated with topic relevance, and to select topics from among the identified topics that are associated with relevance values that satisfy the threshold value. 4. The system of claim 3 , further comprising a candidate selection module that is configured to, for at least one selected topic: sort the named entities stored in association with the selected topic by probabilities that such named entities are related to the selected topic; select one or more of the top-sorted named entities that do not appear in the received user query; and provide the one or more selected top-sorted named entities that do not appear in the received user query as one or more candidate queries. | 0.860032 |
9,148,499 | 1 | 10 | 1. A method for automatically identifying voice tags on an electronic device configured to execute at least a voice interface program and a non-voice interface application program, the method comprising: receiving, through the voice interface program, a voice input command that includes a command element and a content element; identifying from the voice input command the command element; storing the command element in a buffer; ending the voice interface program without performing the voice input command; receiving, through the non-voice interface application program, a user input which identifies input command data for executing an application program command; and upon successful execution of the application program command: determining that the non-voice interface application program is associated with the command element which was buffered in the buffer, and identifying audio of at least the content element or the entire voice input command as a voice tag associated with the input command data identified by the user input. | 1. A method for automatically identifying voice tags on an electronic device configured to execute at least a voice interface program and a non-voice interface application program, the method comprising: receiving, through the voice interface program, a voice input command that includes a command element and a content element; identifying from the voice input command the command element; storing the command element in a buffer; ending the voice interface program without performing the voice input command; receiving, through the non-voice interface application program, a user input which identifies input command data for executing an application program command; and upon successful execution of the application program command: determining that the non-voice interface application program is associated with the command element which was buffered in the buffer, and identifying audio of at least the content element or the entire voice input command as a voice tag associated with the input command data identified by the user input. 10. The method as claimed in claim 1 , further comprising, after receiving the voice input command, storing the audio of the content element in a memory buffer. | 0.790576 |
9,390,180 | 22 | 24 | 22. A computer program product embedded in a non-transitory computer readable storage medium for selecting a page to be associated with content, comprising: program code for determining a plurality of pages each relating to specified content corresponding to a search request by a user for a particular type of item; verifying an identity of the user; program code for analyzing information associated with each of the plurality of pages using a plurality of scalable algorithms, each algorithm in the plurality of scalable algorithms being different from the other algorithms and each algorithm generating a ranking score for each of the pages; program code for receiving at least one goal to be used in determining one of the selected pages to be associated with the specified content, wherein the at least one goal is one of revenue optimization, profitability optimization, and visibility optimization; program code for selecting, based on at least a plurality of the ranking scores generated for each of the plurality of pages, an optimal page from the selected pages according to requirements of the at least one goal; and program code for associating the content with the optimal page, wherein the user accessing the content is provided with a navigational element for navigating to the optimal page and receives additional information to the particular type of item. | 22. A computer program product embedded in a non-transitory computer readable storage medium for selecting a page to be associated with content, comprising: program code for determining a plurality of pages each relating to specified content corresponding to a search request by a user for a particular type of item; verifying an identity of the user; program code for analyzing information associated with each of the plurality of pages using a plurality of scalable algorithms, each algorithm in the plurality of scalable algorithms being different from the other algorithms and each algorithm generating a ranking score for each of the pages; program code for receiving at least one goal to be used in determining one of the selected pages to be associated with the specified content, wherein the at least one goal is one of revenue optimization, profitability optimization, and visibility optimization; program code for selecting, based on at least a plurality of the ranking scores generated for each of the plurality of pages, an optimal page from the selected pages according to requirements of the at least one goal; and program code for associating the content with the optimal page, wherein the user accessing the content is provided with a navigational element for navigating to the optimal page and receives additional information to the particular type of item. 24. A computer program product according to claim 22 , wherein: program code for associating the content with the optimal page includes program code for submitting a link to the optimal page to be displayed to a user when the user accesses the content. | 0.68262 |
8,996,550 | 14 | 15 | 14. The computer system of claim 10 , wherein the first subset of the first set of predicted complete queries includes a plurality of predicted complete queries in the first language and a plurality of predicted complete queries in a second language. | 14. The computer system of claim 10 , wherein the first subset of the first set of predicted complete queries includes a plurality of predicted complete queries in the first language and a plurality of predicted complete queries in a second language. 15. The computer system of claim 14 , wherein the plurality of predicted complete queries in the first language are for concurrent display with the plurality of predicted complete queries in the second language. | 0.952002 |
8,799,770 | 1 | 7 | 1. A computer implemented method, comprising: generating, by a first device, an executable that, when processed at a second device, reproduces one or more components and content associated with the one or more components as an in-memory data structure, wherein the one or more components and the content associated with the one or more components represent an extensible markup language (XML) document, the generating comprises providing the executable in a format used by the second device of a recipient, and the executable is in a particular program code format that comprises: a machine-specific program code format, a byte-code format, a machine-independent program code format, or a combination thereof; and configuring, by the first device, the executable with authentication logic, policy logic, and retrieval logic, and: the authentication logic provides authentication for the recipient that attempts to access the XML document via the executable at the second device, the policy logic enforces policy restrictions, the policy restrictions conditionally restrict how the one or more components and content associated with the one or more components of the XML document are subsequently populated to the in-memory data structure for the recipient at the second device, and the retrieval logic permits an embedded reference to an external document within the XML document to be appropriately retrieved by the recipient at the second device, and wherein the authentication logic, the policy logic, and the retrieval logic each include one or more instructions that are represented within the executable, such that when the executable is executed, the authentication logic, the policy logic, and the retrieval logic are processed with the executable, the authentication logic enforces identity verification when the recipient attempts to access the XML document at the second device, and the authentication logic and the policy logic together with the retrieval logic enforce conditional restrictions that determine whether the external document is to be retrieved and populated to the in-memory data structure for the recipient at the second device. | 1. A computer implemented method, comprising: generating, by a first device, an executable that, when processed at a second device, reproduces one or more components and content associated with the one or more components as an in-memory data structure, wherein the one or more components and the content associated with the one or more components represent an extensible markup language (XML) document, the generating comprises providing the executable in a format used by the second device of a recipient, and the executable is in a particular program code format that comprises: a machine-specific program code format, a byte-code format, a machine-independent program code format, or a combination thereof; and configuring, by the first device, the executable with authentication logic, policy logic, and retrieval logic, and: the authentication logic provides authentication for the recipient that attempts to access the XML document via the executable at the second device, the policy logic enforces policy restrictions, the policy restrictions conditionally restrict how the one or more components and content associated with the one or more components of the XML document are subsequently populated to the in-memory data structure for the recipient at the second device, and the retrieval logic permits an embedded reference to an external document within the XML document to be appropriately retrieved by the recipient at the second device, and wherein the authentication logic, the policy logic, and the retrieval logic each include one or more instructions that are represented within the executable, such that when the executable is executed, the authentication logic, the policy logic, and the retrieval logic are processed with the executable, the authentication logic enforces identity verification when the recipient attempts to access the XML document at the second device, and the authentication logic and the policy logic together with the retrieval logic enforce conditional restrictions that determine whether the external document is to be retrieved and populated to the in-memory data structure for the recipient at the second device. 7. The method of claim 1 , wherein the authentication logic enforces identity verification associated with an identity that identifies the recipient, an author, or a distributor of the executable. | 0.783664 |
9,292,855 | 10 | 13 | 10. The method of claim 2 , wherein the output includes displaying the relevant messaging as part of one or more linked web pages, wherein the non-promoted content is in a hyperlinked format. | 10. The method of claim 2 , wherein the output includes displaying the relevant messaging as part of one or more linked web pages, wherein the non-promoted content is in a hyperlinked format. 13. The method of claim 10 , wherein the non-promoted content synthesized for possible display is time-sliced to accommodate more than one promoter or message. | 0.952195 |
9,922,122 | 12 | 16 | 12. A system comprising: a first data store storing previous search queries; one or more data processing apparatus operable to interact with the data store; and a second data store storing instructions executable by the one or more data processing apparatus that upon such execution cause the one or more data processing apparatus to perform operations comprising: determining that a given user device previously submitted a search query; determining that the given user device requested presentation of two or more pages of search results responsive to the previously submitted search query; determining that no user interaction occurred with the search results presented on the two or more pages of search results presented on the given user device responsive to the previously submitted search query; in response to determining that both the two or more pages of search results were requested and that no user interaction occurred with the search results presented on the two or more pages of search results presented on the given user device, determining that a user dissatisfaction condition has occurred; in response to determining the user dissatisfaction condition has occurred, determining to perform a remedial search operation that includes identifying, as a remedial search query for the remedial search operation, a related query for the previously submitted search query that is different from the previously submitted search query; receiving a current search query from the given user device, the current search query being received subsequent to the previously submitted search query; determining that a topic of the current search query has been classified as being similar to a topic of the previously submitted search query; and in response to determining that the topic of the current search query has been classified as being similar to a topic of the previously submitted search query and in response to determining to perform the remedial search operation, performing the remedial search operation by providing, to the given user device for presentation on a search results page that includes search results for the current search query, a link that, when selected, initiates a search using the identified remedial search query. | 12. A system comprising: a first data store storing previous search queries; one or more data processing apparatus operable to interact with the data store; and a second data store storing instructions executable by the one or more data processing apparatus that upon such execution cause the one or more data processing apparatus to perform operations comprising: determining that a given user device previously submitted a search query; determining that the given user device requested presentation of two or more pages of search results responsive to the previously submitted search query; determining that no user interaction occurred with the search results presented on the two or more pages of search results presented on the given user device responsive to the previously submitted search query; in response to determining that both the two or more pages of search results were requested and that no user interaction occurred with the search results presented on the two or more pages of search results presented on the given user device, determining that a user dissatisfaction condition has occurred; in response to determining the user dissatisfaction condition has occurred, determining to perform a remedial search operation that includes identifying, as a remedial search query for the remedial search operation, a related query for the previously submitted search query that is different from the previously submitted search query; receiving a current search query from the given user device, the current search query being received subsequent to the previously submitted search query; determining that a topic of the current search query has been classified as being similar to a topic of the previously submitted search query; and in response to determining that the topic of the current search query has been classified as being similar to a topic of the previously submitted search query and in response to determining to perform the remedial search operation, performing the remedial search operation by providing, to the given user device for presentation on a search results page that includes search results for the current search query, a link that, when selected, initiates a search using the identified remedial search query. 16. The system of claim 12 , wherein the instructions cause the one or more data processing apparatus to perform operations further comprising: receiving, from the given user device, the identified related query as a search query; and providing search results for the identified related query to the given user device, a number of search results for the identified related query that are provided to the given user device being greater than a number of search results that were provided on the search results page for the current search query. | 0.637517 |
7,509,328 | 2 | 3 | 2. The method of claim 1 wherein the data structure has more than one attributes predefined to be an identifier type of attribute. | 2. The method of claim 1 wherein the data structure has more than one attributes predefined to be an identifier type of attribute. 3. The method of claim 2 wherein the method is performed multiple times to select multiple attributes to be used during execution of the selected procedure. | 0.957815 |
8,352,248 | 13 | 17 | 13. An apparatus comprising: speech encoder means for processing an input speech signal, resulting in a compressed encoder representation of the input speech signal; speech recognizer means for processing the input speech signal; and difference encoder means, responsive to the speech recognizer means, for determining a compressed recognizer representation of a corresponding dictionary speech element that approximates the input speech signal when the speech recognizer means identifies the corresponding dictionary speech element, calculating one or more differences between the compressed encoder representation and the compressed recognizer representation, and compiling compressed speech information that includes representations of the one or more differences; and a transmitter to transmit the compressed speech information that includes representations of the one or more differences when the speech recognizer means identifies the corresponding dictionary speech element and to transmit the compressed encoder representation of the input speech signal when the speech recognizer means does not identify a dictionary speech element that approximates the input speech signal. | 13. An apparatus comprising: speech encoder means for processing an input speech signal, resulting in a compressed encoder representation of the input speech signal; speech recognizer means for processing the input speech signal; and difference encoder means, responsive to the speech recognizer means, for determining a compressed recognizer representation of a corresponding dictionary speech element that approximates the input speech signal when the speech recognizer means identifies the corresponding dictionary speech element, calculating one or more differences between the compressed encoder representation and the compressed recognizer representation, and compiling compressed speech information that includes representations of the one or more differences; and a transmitter to transmit the compressed speech information that includes representations of the one or more differences when the speech recognizer means identifies the corresponding dictionary speech element and to transmit the compressed encoder representation of the input speech signal when the speech recognizer means does not identify a dictionary speech element that approximates the input speech signal. 17. The apparatus of claim 13 , wherein: the speech encoder means includes an analysis-by-synthesis encoder means, which determines an encoder version of speech excitation for the input speech signal; the speech recognizer means determines a recognizer version of speech excitation for the corresponding dictionary speech element; and the difference encoder means calculates excitation differences between the encoder version of the speech excitation and the recognizer version of the speech excitation. | 0.591057 |
9,594,824 | 1 | 3 | 1. A method, comprising: receiving, by a processor implemented recommender manager, a query identifying a source entity, the source entity being of a first entity-type; generating, by the recommender manager, a plurality of candidate entities from an analysis of an entity-relationship graph in response to the query based on the source entity; computing, by the recommender manager, feature values for each candidate entity of the plurality of candidate entities by passing the source entity and the plurality of candidate entities to a type-specific entity recommender particular to the first entity-type; computing, by the recommender manager, an aggregated score for each candidate entity by combining all of the feature values for each candidate entity; generating, by the recommender manager, a plurality of ranked candidate entities by ranking each candidate entity in accordance with the computed aggregate score corresponding to that candidate entity to represent complex interactions between the plurality of candidate entities and leverage the complex interactions in the ranking; and identifying, by the recommender manager, entity and relationship events that alter the entity-relationship graph by monitoring the entity-relationship graph. | 1. A method, comprising: receiving, by a processor implemented recommender manager, a query identifying a source entity, the source entity being of a first entity-type; generating, by the recommender manager, a plurality of candidate entities from an analysis of an entity-relationship graph in response to the query based on the source entity; computing, by the recommender manager, feature values for each candidate entity of the plurality of candidate entities by passing the source entity and the plurality of candidate entities to a type-specific entity recommender particular to the first entity-type; computing, by the recommender manager, an aggregated score for each candidate entity by combining all of the feature values for each candidate entity; generating, by the recommender manager, a plurality of ranked candidate entities by ranking each candidate entity in accordance with the computed aggregate score corresponding to that candidate entity to represent complex interactions between the plurality of candidate entities and leverage the complex interactions in the ranking; and identifying, by the recommender manager, entity and relationship events that alter the entity-relationship graph by monitoring the entity-relationship graph. 3. The method of claim 1 , wherein each entity recommender of the plurality of entity recommenders corresponds to one of a plurality of entity types. | 0.848269 |
8,229,728 | 18 | 29 | 18. A method for generating a translation model for a statistical machine translation system, comprising the steps of: selecting a plurality of parallel sentences having one or more phrases using at least one of word occurrence frequency information and a minimum BLEU score criterion, each of said parallel sentences having a source language sentence and a target language sentence; manually aligning, via an alignment tool, words and phrases between said source language sentences and said target language sentences of said parallel sentences; extracting alignment patterns from said manually aligned sentences; estimating word alignments from said alignment patterns; extracting source-target phrases using the word alignments; and estimating the one or more translation models from the extracted source-target phrases. | 18. A method for generating a translation model for a statistical machine translation system, comprising the steps of: selecting a plurality of parallel sentences having one or more phrases using at least one of word occurrence frequency information and a minimum BLEU score criterion, each of said parallel sentences having a source language sentence and a target language sentence; manually aligning, via an alignment tool, words and phrases between said source language sentences and said target language sentences of said parallel sentences; extracting alignment patterns from said manually aligned sentences; estimating word alignments from said alignment patterns; extracting source-target phrases using the word alignments; and estimating the one or more translation models from the extracted source-target phrases. 29. The method of claim 18 , wherein automatically extracted phrases are augmented with phrase map generated from an alignment tool to improve the estimation of the translation model. | 0.875171 |
9,350,862 | 1 | 3 | 1. A computer system comprising: a memory; and a processor coupled to the memory, wherein the memory stores instructions that, when executed by the processor, cause the processor to perform operations comprising: determining a first set of objects and a second set of actions from text of a call; determining that a particular object of the first set is included in a first portion of a synonym table; replacing the particular object in the first set with a synonym for the particular object from the synonym table to form a modified first set, wherein each object in the modified first set is associated with a confidence value; pairing an object from the modified first set with an action from the second set to form an object-action pair, wherein the object of the object-action pair is selected to be paired with the action based on the confidence value of the object; and routing the call based on the object-action pair. | 1. A computer system comprising: a memory; and a processor coupled to the memory, wherein the memory stores instructions that, when executed by the processor, cause the processor to perform operations comprising: determining a first set of objects and a second set of actions from text of a call; determining that a particular object of the first set is included in a first portion of a synonym table; replacing the particular object in the first set with a synonym for the particular object from the synonym table to form a modified first set, wherein each object in the modified first set is associated with a confidence value; pairing an object from the modified first set with an action from the second set to form an object-action pair, wherein the object of the object-action pair is selected to be paired with the action based on the confidence value of the object; and routing the call based on the object-action pair. 3. The system of claim 1 , wherein the text is associated with a word string. | 0.883333 |
9,111,003 | 17 | 18 | 17. The system of claim 16 , wherein the virtual browser constructs a dynamic subtree representing non-matching dynamic content and associating the dynamic subtree with the unique token identifier. | 17. The system of claim 16 , wherein the virtual browser constructs a dynamic subtree representing non-matching dynamic content and associating the dynamic subtree with the unique token identifier. 18. The system of claim 17 , wherein the virtual browser maintains the association between the dynamic subtree with the unique token identifier until termination of the connection between one of the plurality of servers and the virtual browser. | 0.89934 |
7,814,097 | 19 | 30 | 19. A computer-readable storage that stores instructions which, when executed by one or more processors, cause the one of more processors to perform the steps of: receiving a search query that includes a first spelling of a term; generating a second spelling of the term; accessing a first set of items that are associated with the first spelling of the term; accessing a second set of items that are associated with the second spelling of the term; performing a comparison between the first set to the second set at least in part by determining a degree to which items in the first set overlap with items in the second set; determining how to respond to the search query based, at least in part, on the comparison; determining a relative ranking of the items in the first set of items, indicating how strongly a particular item in the first set is associated with a user-provided spelling of the term as compared to the remainder of the items in the first set; determining a relative ranking of the items in the second set of items, indicating how strongly a particular item in the second set is associated with an alternative spelling of the term as compared to the remainder of the items in the second set; identifying a plurality of overlap items that are included in both the first set of items and the second set of items; increasing a degree to which the items in the first set correlate to items in the second set based on a determination that a first item in the plurality of overlap items has a relative ranking above a first threshold; and decreasing the degree to which the items in the first set correlate to items in the second set based on a determination that a second item in the plurality of overlap items has a relative ranking below a second threshold. | 19. A computer-readable storage that stores instructions which, when executed by one or more processors, cause the one of more processors to perform the steps of: receiving a search query that includes a first spelling of a term; generating a second spelling of the term; accessing a first set of items that are associated with the first spelling of the term; accessing a second set of items that are associated with the second spelling of the term; performing a comparison between the first set to the second set at least in part by determining a degree to which items in the first set overlap with items in the second set; determining how to respond to the search query based, at least in part, on the comparison; determining a relative ranking of the items in the first set of items, indicating how strongly a particular item in the first set is associated with a user-provided spelling of the term as compared to the remainder of the items in the first set; determining a relative ranking of the items in the second set of items, indicating how strongly a particular item in the second set is associated with an alternative spelling of the term as compared to the remainder of the items in the second set; identifying a plurality of overlap items that are included in both the first set of items and the second set of items; increasing a degree to which the items in the first set correlate to items in the second set based on a determination that a first item in the plurality of overlap items has a relative ranking above a first threshold; and decreasing the degree to which the items in the first set correlate to items in the second set based on a determination that a second item in the plurality of overlap items has a relative ranking below a second threshold. 30. The computer-readable storage of claim 19 , wherein the steps further comprise instructions for forming the first set of items based on a group of items that appear together in a file as a single concept. | 0.842185 |
7,599,948 | 15 | 16 | 15. An integration server system, comprising: a processor that executes instructions stored in a data storage medium; a database that stores data accessible to the processor; a generator that creates a database schema in response to a model description, the database schema including at least one table and configured to store a set of data object instances in the database; a metadata model representing a configuration of the set of data object instances in the database schema; a model application programming interface that provides a client application with access to the set of data object instances as separate data objects; and a metadata application programming interface that provides a client application with access to definitions for the set of data object directly within the database schema instances via the metadata model, wherein the database schema utilizes an ordered sequence for preserving an ordered association between the set of data object instances, a random sequence value being generated for a new data object instance to be inserted into the ordered sequence, the random sequence value being generated relative to an average of sequence values of existing data object instances immediately adjacent to a point of insertion in the ordered sequence, the generation of a random sequence value enabling the client application and any additional application able to concurrently insert a data object instances into the ordered sequence. | 15. An integration server system, comprising: a processor that executes instructions stored in a data storage medium; a database that stores data accessible to the processor; a generator that creates a database schema in response to a model description, the database schema including at least one table and configured to store a set of data object instances in the database; a metadata model representing a configuration of the set of data object instances in the database schema; a model application programming interface that provides a client application with access to the set of data object instances as separate data objects; and a metadata application programming interface that provides a client application with access to definitions for the set of data object directly within the database schema instances via the metadata model, wherein the database schema utilizes an ordered sequence for preserving an ordered association between the set of data object instances, a random sequence value being generated for a new data object instance to be inserted into the ordered sequence, the random sequence value being generated relative to an average of sequence values of existing data object instances immediately adjacent to a point of insertion in the ordered sequence, the generation of a random sequence value enabling the client application and any additional application able to concurrently insert a data object instances into the ordered sequence. 16. The integration server system of claim 15 , wherein the model description defines a data object hierarchy using the unified modeling language. | 0.903694 |
8,302,855 | 1 | 9 | 1. Apparatus comprising: an automated banking machine that operates responsive at least in part to data read from data bearing records to cause financial transfers, wherein the automated banking machine includes a plurality of hardware devices including: a card reader operative to read card data from user cards, wherein the card data corresponds to financial accounts; a check acceptor, wherein the check acceptor is configured to receive and scan financial checks that include thereon magnetic ink character recognition (MICR) characters, wherein the check acceptor includes: at least one magnetic sensor, at least one transport, wherein the at least one transport is operative to move a check adjacent to the at least one magnetic sensor, wherein the at least one magnetic sensor is operative to generate electrical signals corresponding to the presence of magnetic indicia on the check; at least one processor in operative communication with the card reader and the check acceptor, wherein the at least one processor is operative to cause: a processor determination that card data read from a card corresponds to a financial account with which financial transfers are authorized to be conducted through machine operation; and a financial transfer at least one of to and from the financial account responsive at least in part to the determination; wherein the at least one processor is operative to determine locations of a plurality of zones on the check, including a MICR zone that includes a plurality of MICR characters therein, and at least one further zone that does not include any MICR characters therein, wherein responsive at least in part to the electrical signals corresponding to the presence of magnetic indicia on the check, the at least one processor is operative to determine for each located zone, whether the respective zone includes a detectable amount of magnetic indicia that is above at least one predetermined threshold for the respective zone, whether the respective zone does not include a detectable amount of magnetic indicia that is above the at least one predetermined threshold, wherein the at least one processor is operative to determine a probability associated with the check being fraudulent responsive at least in part to whether each located zone does or does not include a detectable amount of magnetic indicia that is above the at least one predetermined threshold. | 1. Apparatus comprising: an automated banking machine that operates responsive at least in part to data read from data bearing records to cause financial transfers, wherein the automated banking machine includes a plurality of hardware devices including: a card reader operative to read card data from user cards, wherein the card data corresponds to financial accounts; a check acceptor, wherein the check acceptor is configured to receive and scan financial checks that include thereon magnetic ink character recognition (MICR) characters, wherein the check acceptor includes: at least one magnetic sensor, at least one transport, wherein the at least one transport is operative to move a check adjacent to the at least one magnetic sensor, wherein the at least one magnetic sensor is operative to generate electrical signals corresponding to the presence of magnetic indicia on the check; at least one processor in operative communication with the card reader and the check acceptor, wherein the at least one processor is operative to cause: a processor determination that card data read from a card corresponds to a financial account with which financial transfers are authorized to be conducted through machine operation; and a financial transfer at least one of to and from the financial account responsive at least in part to the determination; wherein the at least one processor is operative to determine locations of a plurality of zones on the check, including a MICR zone that includes a plurality of MICR characters therein, and at least one further zone that does not include any MICR characters therein, wherein responsive at least in part to the electrical signals corresponding to the presence of magnetic indicia on the check, the at least one processor is operative to determine for each located zone, whether the respective zone includes a detectable amount of magnetic indicia that is above at least one predetermined threshold for the respective zone, whether the respective zone does not include a detectable amount of magnetic indicia that is above the at least one predetermined threshold, wherein the at least one processor is operative to determine a probability associated with the check being fraudulent responsive at least in part to whether each located zone does or does not include a detectable amount of magnetic indicia that is above the at least one predetermined threshold. 9. The apparatus according to claim 1 , wherein the check acceptor is operative to scan checks with different relative sizes, wherein the at least one processor is operative to determine a size of a check, wherein the at least one processor is operative to determine at least one predetermined threshold for each respective zone responsive at least in part to the determined size of the check. | 0.829279 |
10,146,861 | 1 | 3 | 1. A computer-implemented method of providing search results, the method comprising: accessing an ontology providing a plurality of classifications, where each classification comprises a set of terms; accessing a fact table comprising at least two facts, wherein each fact comprises a document and each fact is associated with one or more classification from the plurality of classifications and there is at least one classification that relates at least one fact to multiple terms of the at least one classification; receiving a user query request specifying one or more condition terms from one or more classifications or text words or text phrases; having a set of predetermined report patterns, where each report pattern comprises one or more report classifications representing one or more dimensions of visualization of the reports corresponding to the report pattern, and wherein the set of predetermined report pattern is used to compute and output reports to users; receiving a user query and associating the user query with a report pattern; and computing the requested report by assigning one or more numeric aggregate measures to each combination of a particular report term in the report pattern classifications, wherein at least one aggregate measure is computed after receiving the user query from a set of qualifying facts that are associated with every combination of the particular report terms and also relate to the condition terms or text words or text phrases in the user query request. | 1. A computer-implemented method of providing search results, the method comprising: accessing an ontology providing a plurality of classifications, where each classification comprises a set of terms; accessing a fact table comprising at least two facts, wherein each fact comprises a document and each fact is associated with one or more classification from the plurality of classifications and there is at least one classification that relates at least one fact to multiple terms of the at least one classification; receiving a user query request specifying one or more condition terms from one or more classifications or text words or text phrases; having a set of predetermined report patterns, where each report pattern comprises one or more report classifications representing one or more dimensions of visualization of the reports corresponding to the report pattern, and wherein the set of predetermined report pattern is used to compute and output reports to users; receiving a user query and associating the user query with a report pattern; and computing the requested report by assigning one or more numeric aggregate measures to each combination of a particular report term in the report pattern classifications, wherein at least one aggregate measure is computed after receiving the user query from a set of qualifying facts that are associated with every combination of the particular report terms and also relate to the condition terms or text words or text phrases in the user query request. 3. The method of claim 1 , further including presenting the requested reports by a 2-dimensional visualization. | 0.896262 |
9,998,412 | 1 | 9 | 1. A method of facilitating communication of electronic messages, the method comprising: enabling, via a user interface of a message communication device, a first message configuration to be used when replying to a first electronic message received from a source internal to a particular organization, the first message configuration including a first text, wherein the particular organization represents a category, users internal to the particular organization are included in the category and users external to the particular organization are not included in the category, and the category is one of personal, customer, and supplier; enabling, via the user interface of the message communication device, a second message configuration to be used when replying to a second electronic message received from a source external to the particular organization, the second message configuration including a second text; storing the first message configuration and the second message configuration; receiving a message from a source; after receiving the message, receiving, from a user of the message communication device, a third text, wherein the third text is a new reply electronic message corresponding to the received message, and the third text is different than text of the received message; and automatically appending one of the first text of the first message configuration or the second text of the second message configuration to the third text for the new reply electronic message based on the source of the received message associated with the new reply electronic message. | 1. A method of facilitating communication of electronic messages, the method comprising: enabling, via a user interface of a message communication device, a first message configuration to be used when replying to a first electronic message received from a source internal to a particular organization, the first message configuration including a first text, wherein the particular organization represents a category, users internal to the particular organization are included in the category and users external to the particular organization are not included in the category, and the category is one of personal, customer, and supplier; enabling, via the user interface of the message communication device, a second message configuration to be used when replying to a second electronic message received from a source external to the particular organization, the second message configuration including a second text; storing the first message configuration and the second message configuration; receiving a message from a source; after receiving the message, receiving, from a user of the message communication device, a third text, wherein the third text is a new reply electronic message corresponding to the received message, and the third text is different than text of the received message; and automatically appending one of the first text of the first message configuration or the second text of the second message configuration to the third text for the new reply electronic message based on the source of the received message associated with the new reply electronic message. 9. The method of claim 1 , wherein a source's relationship to the particular organization, internal to the particular organization or external to the particular organization, is reflected in at least a part of an address portion of electronic messages sent by or on behalf of the source. | 0.686681 |
8,099,281 | 1 | 3 | 1. A method of constructing a test for use in electronically disambiguating a homograph during a computer-based text-to-speech event, the method comprising: using at least one processor to construct a decision tree for determining a pronunciation label for the homograph in an input word string, the decision tree comprising at least first and second nodes, the first node being a parent of the second node, wherein the at least one processor is configured to construct the decision tree at least in part by: accessing a first set of training samples, each of the training samples comprising a word string that contains the homograph and a pronunciation label indicating a correct pronunciation of the homograph in the word string; applying a plurality of decision rules to the first set of training samples, each of the plurality of decision rules partitioning the first set of training samples into at least two subsets of the first set of training samples; for each one of the plurality of decision rules, computing a corresponding measure of impurity indicative of an extent to which each of the at least two subsets formed by applying the one of the plurality of decision rules contains training samples associated with different pronunciation labels, wherein the one of the plurality of decision rules, when applied to word strings in the first set of training samples, determines whether at least one selected word indicator is present in the word strings, and wherein at least one training sample in the first set of training samples is retained for computing the measure of impurity corresponding to the one of the plurality of decision rules even if the at least one selected word indicator is absent in the word string of the at least one training sample; and selecting, for the first node of the decision tree, a decision rule from the plurality of decision rules based at least in part on the measures of impurity computed for the plurality of decision rules. | 1. A method of constructing a test for use in electronically disambiguating a homograph during a computer-based text-to-speech event, the method comprising: using at least one processor to construct a decision tree for determining a pronunciation label for the homograph in an input word string, the decision tree comprising at least first and second nodes, the first node being a parent of the second node, wherein the at least one processor is configured to construct the decision tree at least in part by: accessing a first set of training samples, each of the training samples comprising a word string that contains the homograph and a pronunciation label indicating a correct pronunciation of the homograph in the word string; applying a plurality of decision rules to the first set of training samples, each of the plurality of decision rules partitioning the first set of training samples into at least two subsets of the first set of training samples; for each one of the plurality of decision rules, computing a corresponding measure of impurity indicative of an extent to which each of the at least two subsets formed by applying the one of the plurality of decision rules contains training samples associated with different pronunciation labels, wherein the one of the plurality of decision rules, when applied to word strings in the first set of training samples, determines whether at least one selected word indicator is present in the word strings, and wherein at least one training sample in the first set of training samples is retained for computing the measure of impurity corresponding to the one of the plurality of decision rules even if the at least one selected word indicator is absent in the word string of the at least one training sample; and selecting, for the first node of the decision tree, a decision rule from the plurality of decision rules based at least in part on the measures of impurity computed for the plurality of decision rules. 3. The method of claim 1 , wherein the selected decision rule has a lowest measure of impurity among the plurality of decision rules. | 0.955429 |
8,205,149 | 1 | 2 | 1. A computer-implemented method for populating a plurality of fields in a find dialog of a spreadsheet program module, the method comprising the steps of: choosing a plurality of formatting characteristics of a cell in the spreadsheet; editing the plurality of fields in the find dialog to correspond to the plurality of formatting characteristics of the cell; and wherein the step of choosing the plurality of formatting characteristics of the cell in the spreadsheet is performed in response to moving a cursor over the cell containing said plurality of formatting characteristics and clicking a mouse button to select the cell, whereby in response to selecting the cell the formatting characteristics of the selected cell are determined and applied to the plurality of fields of the find dialog. | 1. A computer-implemented method for populating a plurality of fields in a find dialog of a spreadsheet program module, the method comprising the steps of: choosing a plurality of formatting characteristics of a cell in the spreadsheet; editing the plurality of fields in the find dialog to correspond to the plurality of formatting characteristics of the cell; and wherein the step of choosing the plurality of formatting characteristics of the cell in the spreadsheet is performed in response to moving a cursor over the cell containing said plurality of formatting characteristics and clicking a mouse button to select the cell, whereby in response to selecting the cell the formatting characteristics of the selected cell are determined and applied to the plurality of fields of the find dialog. 2. The method of claim 1 , wherein: the step of choosing the plurality of formatting characteristics of the cell in the spreadsheet further comprises selecting an option of choosing the formatting characteristics from a formatted cell in the spreadsheet; and in response to selecting the option, changing the shape of the cursor from a first shape to a second shape distinct from the first shape, whereby the distinct second shape denotes to a user that moving the cursor over a cell and clicking the mouse button will determine the formatting characterizes of that cell and apply the formatting characteristics of that cell to the fields of the find dialog. | 0.500759 |
7,754,955 | 26 | 27 | 26. The integrated interactive electronic virtual reality multimedia recording and learning environment adapted for a top down butterfly morpheus music notation system of claim 1 wherein a plurality of virtual characters are directed and manipulated in real-time within a virtual reality environment, utilizing said first unique visible indicia indicating specific notes upon its virtual musical instrument and said second unique visible indicia for its specific virtual hand coordination. | 26. The integrated interactive electronic virtual reality multimedia recording and learning environment adapted for a top down butterfly morpheus music notation system of claim 1 wherein a plurality of virtual characters are directed and manipulated in real-time within a virtual reality environment, utilizing said first unique visible indicia indicating specific notes upon its virtual musical instrument and said second unique visible indicia for its specific virtual hand coordination. 27. The integrated interactive electronic virtual reality multimedia recording and learning environment adapted for a top down butterfly morpheus music notation system of claim 26 wherein these said plurality of virtual characters are directed and manipulated in real-time within a virtual reality environment via a plurality of said controllers using said input and output means. | 0.934909 |
10,140,880 | 1 | 2 | 1. A method comprising: locating a plurality of occurrences of a knowledge point in a learning material; selecting one or more candidate initial points from the plurality of occurrences of the knowledge point; setting a first candidate initial point of the one or more candidate initial points as a first initial point; creating a first window in the learning material that includes the first initial point, wherein the first window includes a first-window size that corresponds to one or more basic units; creating a second window in the learning material, wherein a start of the second window follows a start of the first window by a first separation size, and wherein the second window includes a second-window size that corresponds to the one or more basic units; calculating a window similarity between first-window content of the first window and second-window content of the second window; in response to the window similarity between the first-window content of the first window and the second-window content of the second window meeting a similarity threshold, generating a first segment with first-segment content that includes at least the first-window content and the second-window content; detecting a position for a first segment border of the first segment that indicates an end of the first segment in which the detecting includes: sliding the first window and the second window through the learning material by a step size to create a first new window and a second new window such that the second-window content of the second window is the same as first new-window content of the first new window; and determining whether a new-window similarity between the first new-window content and second new-window content meet the similarity threshold; calculating a first-segment consistency measurement for the first segment based on a first-segment similarity between the first-segment content in the first segment and the knowledge point; ranking, according to one or more computer-executable expressions, the first segment with respect to one or more of the following: a second segment in the learning material and a third segment in a different learning material, wherein the ranking of the first segment is based on one or more of the following: a quality measurement, a learning material type of the learning material, a length of the first segment, and the first-segment consistency measurement of the first segment; and recommending the first segment to a learner based on the ranking of the first segment. | 1. A method comprising: locating a plurality of occurrences of a knowledge point in a learning material; selecting one or more candidate initial points from the plurality of occurrences of the knowledge point; setting a first candidate initial point of the one or more candidate initial points as a first initial point; creating a first window in the learning material that includes the first initial point, wherein the first window includes a first-window size that corresponds to one or more basic units; creating a second window in the learning material, wherein a start of the second window follows a start of the first window by a first separation size, and wherein the second window includes a second-window size that corresponds to the one or more basic units; calculating a window similarity between first-window content of the first window and second-window content of the second window; in response to the window similarity between the first-window content of the first window and the second-window content of the second window meeting a similarity threshold, generating a first segment with first-segment content that includes at least the first-window content and the second-window content; detecting a position for a first segment border of the first segment that indicates an end of the first segment in which the detecting includes: sliding the first window and the second window through the learning material by a step size to create a first new window and a second new window such that the second-window content of the second window is the same as first new-window content of the first new window; and determining whether a new-window similarity between the first new-window content and second new-window content meet the similarity threshold; calculating a first-segment consistency measurement for the first segment based on a first-segment similarity between the first-segment content in the first segment and the knowledge point; ranking, according to one or more computer-executable expressions, the first segment with respect to one or more of the following: a second segment in the learning material and a third segment in a different learning material, wherein the ranking of the first segment is based on one or more of the following: a quality measurement, a learning material type of the learning material, a length of the first segment, and the first-segment consistency measurement of the first segment; and recommending the first segment to a learner based on the ranking of the first segment. 2. The method of claim 1 , further comprising, in response to the window similarity between the first-window content of the first window and the second-window content of the second window meeting a similarity threshold: creating the first new window in the learning material, wherein a start of the first new window follows a start of the first window by the step size; creating the second new window in the learning material, wherein a start of the second new window follows a start of the first new window by a second separation size, and wherein the second new window follows the first window in the learning material; calculating the new-window similarity between first new-window content of the first new window and second new-window content of the second new window; and in response to the new-window similarity between the first new-window content of the first new window and the second new-window content of the second new window meeting the similarity threshold, adding the first new-window content and the second new-window content to the first segment; or in response to the new-window similarity between the first new-window content of the first new window and the second new-window content of the second new window failing to meet the similarity threshold, generating the first segment border at the first new window. | 0.62 |
8,484,730 | 8 | 10 | 8. A system for reporting online behavior comprising: an identifying module programmed to identify a user account subject to parental monitoring, and to identify a plurality of online resources accessed by the user account over a period of time; a resource reputation module programmed to maintain a reputation database by collecting, aggregating, and analyzing information about each of the plurality of online resources from user devices within a community; a determining module programmed to determine a reputation for each of the plurality of online resources, wherein: the reputation indicates a level of security threat; the determining module determines the reputation by providing information identifying each online resource to an online resource reputation system that maintains reputation information for online resources and by receiving, from the online resource reputation system, a reputation score for each online resource; a generating module programmed to generate an online behavior score for the user account based on the reputation score for each online resource in the plurality of online resources, the online behavior score indicating an overall level of security threat posed by online activity on the user account; a reporting module programmed to report the online behavior score to a predetermined contact associated with the user account; at least one processor configured to execute the identifying module, the determining module, the generating module, and the reporting module. | 8. A system for reporting online behavior comprising: an identifying module programmed to identify a user account subject to parental monitoring, and to identify a plurality of online resources accessed by the user account over a period of time; a resource reputation module programmed to maintain a reputation database by collecting, aggregating, and analyzing information about each of the plurality of online resources from user devices within a community; a determining module programmed to determine a reputation for each of the plurality of online resources, wherein: the reputation indicates a level of security threat; the determining module determines the reputation by providing information identifying each online resource to an online resource reputation system that maintains reputation information for online resources and by receiving, from the online resource reputation system, a reputation score for each online resource; a generating module programmed to generate an online behavior score for the user account based on the reputation score for each online resource in the plurality of online resources, the online behavior score indicating an overall level of security threat posed by online activity on the user account; a reporting module programmed to report the online behavior score to a predetermined contact associated with the user account; at least one processor configured to execute the identifying module, the determining module, the generating module, and the reporting module. 10. The system according to claim 8 , wherein the generating module is programmed to generate the online behavior score for the user account based on the reputation score for each online resource in the plurality of online resources at least in part by: identifying a reputation threshold; determining whether any reputation included within the reputations for each of the plurality of online resources achieves the reputation threshold. | 0.550412 |
9,104,764 | 1 | 6 | 1. A method performed by a data processing apparatus, comprising: identifying, based on stored search log data for user search activity of multiple users, a query pair including: a first query; and a second query that was received (i) within a specified time following receipt of the first query and (ii) from a same user as the first query; identifying user search sessions that each include both of the first query and the second query; determining, based on the user search activity, a number of the identified user search sessions in which a third query was received following receipt of the first query and the second query during a same user search session; identifying the third query as a follow-up query to the query pair based on a ratio between the number of the identified user search sessions in which the third query was received and a total number of the identified user search sessions that included both of the first query and the second query meeting a query suggestion threshold frequency; receiving the first query from a given user device; receiving, within the specified time of receiving the first query and from the given user device, the second query; and providing, to the given user device and in response to receiving the second query within the specified time of receiving the first query, data that present (i) search results for the second query and (ii) the third query at the given user device based on the third query having been identified as a follow-up query to the query pair. | 1. A method performed by a data processing apparatus, comprising: identifying, based on stored search log data for user search activity of multiple users, a query pair including: a first query; and a second query that was received (i) within a specified time following receipt of the first query and (ii) from a same user as the first query; identifying user search sessions that each include both of the first query and the second query; determining, based on the user search activity, a number of the identified user search sessions in which a third query was received following receipt of the first query and the second query during a same user search session; identifying the third query as a follow-up query to the query pair based on a ratio between the number of the identified user search sessions in which the third query was received and a total number of the identified user search sessions that included both of the first query and the second query meeting a query suggestion threshold frequency; receiving the first query from a given user device; receiving, within the specified time of receiving the first query and from the given user device, the second query; and providing, to the given user device and in response to receiving the second query within the specified time of receiving the first query, data that present (i) search results for the second query and (ii) the third query at the given user device based on the third query having been identified as a follow-up query to the query pair. 6. The method of claim 1 , wherein each user search session comprises a search session in which one or more queries are received from a given user within a given amount of time. | 0.863003 |
8,903,723 | 3 | 8 | 3. The computer implemented method of claim 1 wherein on the user interface when expected text is different from recognized text, a comparison result is classified into one of three types; a number of linguistic units is the same between recognized and expected portions, more expected text in the mismatched portion than recognized text, and more recognized text than expected text. | 3. The computer implemented method of claim 1 wherein on the user interface when expected text is different from recognized text, a comparison result is classified into one of three types; a number of linguistic units is the same between recognized and expected portions, more expected text in the mismatched portion than recognized text, and more recognized text than expected text. 8. The computer implemented method of claim 3 wherein if there is more recognized text than expected text, the method further comprises: turning off all visual indicia while the audible output is providing the extra recognized text. | 0.920819 |
8,626,585 | 12 | 14 | 12. A system, comprising: a data processing apparatus; a memory storage apparatus in data communication with the data processing apparatus and storing instructions executable by the data processing apparatus and that upon such execution cause the data processing apparatus to perform operations comprising: for each of one or more textual advertisements of a sponsor of the textual advertisements, each of the advertisements including a link to a corresponding landing page that causes a user device to request the landing page in response to the advertisement being selected when the advertisement is displayed on the user device: identifying landing page images in the landing page to which the textual advertisement links; for each landing page image identified in the landing page, determining a relevance measure that measures the relevance of the landing page image to the content of the landing page; selecting, by the data processing apparatus, one or more of the landing page images for concurrent display with the textual advertisement based on the relevance measures of the landing page images; and storing, in a data storage system, data associating the selected landing page images with the textual advertisements. | 12. A system, comprising: a data processing apparatus; a memory storage apparatus in data communication with the data processing apparatus and storing instructions executable by the data processing apparatus and that upon such execution cause the data processing apparatus to perform operations comprising: for each of one or more textual advertisements of a sponsor of the textual advertisements, each of the advertisements including a link to a corresponding landing page that causes a user device to request the landing page in response to the advertisement being selected when the advertisement is displayed on the user device: identifying landing page images in the landing page to which the textual advertisement links; for each landing page image identified in the landing page, determining a relevance measure that measures the relevance of the landing page image to the content of the landing page; selecting, by the data processing apparatus, one or more of the landing page images for concurrent display with the textual advertisement based on the relevance measures of the landing page images; and storing, in a data storage system, data associating the selected landing page images with the textual advertisements. 14. The system of claim 12 , wherein determining a relevance measure that measures the relevance of the landing page image to the content of the landing page comprises: determining a size of the landing page image; and determining a relevance measure having a magnitude that is, in part, proportional to the size of the image. | 0.762391 |
7,734,627 | 1 | 9 | 1. A method performed by a computer system, the method comprising: randomly sampling pairs of ordered terms from a particular document of a set of documents, to generate a cluster of pairs of ordered terms for the particular document, where the pairs of ordered terms include a first term and a second term and where, in at least some of the pairs of ordered terms, the second term occurs after one or more intervening terms occurring after the first term in the particular document, and where the random sampling is biased to have a higher chance of including a first ordered pair in the cluster than a second ordered pair, if the first ordered pair has fewer intervening terms that the second ordered pair, the randomly sampling being performed using one or more processors associated with the computer system; building, using one or more processors associated with the computer system, a similarity model that includes the cluster of pairs; comparing, using one or more processors associated with the computer system, a cluster of pairs from a target document to clusters of pairs from the similarity model; generating, using one or more processors associated with the computer system, similarity metrics that measure similarity between the target document and particular documents in the set of documents, the generating being based on the comparing; and outputting the generated similarity metrics. | 1. A method performed by a computer system, the method comprising: randomly sampling pairs of ordered terms from a particular document of a set of documents, to generate a cluster of pairs of ordered terms for the particular document, where the pairs of ordered terms include a first term and a second term and where, in at least some of the pairs of ordered terms, the second term occurs after one or more intervening terms occurring after the first term in the particular document, and where the random sampling is biased to have a higher chance of including a first ordered pair in the cluster than a second ordered pair, if the first ordered pair has fewer intervening terms that the second ordered pair, the randomly sampling being performed using one or more processors associated with the computer system; building, using one or more processors associated with the computer system, a similarity model that includes the cluster of pairs; comparing, using one or more processors associated with the computer system, a cluster of pairs from a target document to clusters of pairs from the similarity model; generating, using one or more processors associated with the computer system, similarity metrics that measure similarity between the target document and particular documents in the set of documents, the generating being based on the comparing; and outputting the generated similarity metrics. 9. The method of claim 1 , where the comparing includes: comparing pairs of ordered terms from the target document to the similarity model by enumerating pairs from the target document such that a first term and a second term in one of the enumerated pairs appears within a fixed distance of each other in the target document. | 0.501529 |
8,595,186 | 1 | 7 | 1. A mobile device, comprising: at least one processor; memory storing instructions, the instructions comprising: instructions for a declaratory markup language renderer configured to instruct the at least one processor to render a declaratory markup language component of a widget application on a display of the mobile device; instructions for a compiled programming language execution engine configured to instruct the at least one processor to execute a compiled programming language component of a widget application installed on the mobile device; instructions for a mobile device API, adapted to be accessible to a widget application, and providing access to a device service API of the mobile device; and instructions for a widget manager configured to instruct the at least one processor to: crawl one or more remote network resources accessible via a network for widget applications; to automatically determine one or more of the widget applications for download based on a user profile associated with the mobile device; to automatically download the one or more widget applications, from a remote network location to the mobile device, to constitute a set of downloaded widget applications; and to install the set of downloaded widget applications, wherein the downloading and installing are based on the user profile associated with the mobile device, without user interaction with the mobile device; wherein the set of downloaded widget applications corresponds to a first set of widget applications; and instructions for the widget manager configured to instruct the at least one processor to automatically uninstall one or both of the first set of widget applications and a second set of widget applications on the mobile device based at least in part on user preferences, without user interaction with the mobile device. | 1. A mobile device, comprising: at least one processor; memory storing instructions, the instructions comprising: instructions for a declaratory markup language renderer configured to instruct the at least one processor to render a declaratory markup language component of a widget application on a display of the mobile device; instructions for a compiled programming language execution engine configured to instruct the at least one processor to execute a compiled programming language component of a widget application installed on the mobile device; instructions for a mobile device API, adapted to be accessible to a widget application, and providing access to a device service API of the mobile device; and instructions for a widget manager configured to instruct the at least one processor to: crawl one or more remote network resources accessible via a network for widget applications; to automatically determine one or more of the widget applications for download based on a user profile associated with the mobile device; to automatically download the one or more widget applications, from a remote network location to the mobile device, to constitute a set of downloaded widget applications; and to install the set of downloaded widget applications, wherein the downloading and installing are based on the user profile associated with the mobile device, without user interaction with the mobile device; wherein the set of downloaded widget applications corresponds to a first set of widget applications; and instructions for the widget manager configured to instruct the at least one processor to automatically uninstall one or both of the first set of widget applications and a second set of widget applications on the mobile device based at least in part on user preferences, without user interaction with the mobile device. 7. The mobile device of claim 1 , wherein the instructions for the compiled programming language execution engine provide access to the device service API of the mobile device. | 0.821501 |
9,626,429 | 9 | 14 | 9. A client device, comprising: a processor programmed to perform operations including: storing a local primary vocabulary at the client device, wherein the local primary vocabulary pertains to any of a language, a subject matter, a functional purpose, or a content; receiving a sequence of one or more symbols from a user through entry of a sequence of keypresses by the user; transmitting at least a most recent portion of the sequence over a network after each of the keypresses; updating the locally stored primary vocabulary from a corresponding remote vocabulary of a plurality of remote vocabularies over the network that pertains to the transmitted most recent portion of the sequence after each of the keypresses, when the transmitted most recent portion of the sequence includes one or more words that overlaps both the corresponding remote vocabulary and the locally stored primary vocabulary; receiving a new vocabulary of the plurality of remote vocabularies over the network that pertains to the transmitted most recent portion of the sequence after each of the keypresses, wherein the new vocabulary pertains to a topic, when the new vocabulary includes a plurality of words that correspond to the topic, and wherein the transmitted most recent portion of the sequence includes one or more words that overlap the new vocabulary, such that the new vocabulary has associated therewith a measure of confidence above a prescribed threshold with respect to the transmitted most recent portion of the sequence, wherein the transmitted most recent portion of the sequence significantly overlaps the new vocabulary while lacking significant overlaps with the locally stored primary vocabulary and others of the plurality of remote vocabularies, wherein receiving the new vocabulary comprises receiving a notice over the network that the new vocabulary is available that pertains to the transmitted sequence, and downloading the new vocabulary over the network in response to the received notice; locally storing the received new vocabulary at the apparatus; receiving text entered by the user; and for the received text, using the locally stored vocabulary for any of word prediction, completion, or word correction. | 9. A client device, comprising: a processor programmed to perform operations including: storing a local primary vocabulary at the client device, wherein the local primary vocabulary pertains to any of a language, a subject matter, a functional purpose, or a content; receiving a sequence of one or more symbols from a user through entry of a sequence of keypresses by the user; transmitting at least a most recent portion of the sequence over a network after each of the keypresses; updating the locally stored primary vocabulary from a corresponding remote vocabulary of a plurality of remote vocabularies over the network that pertains to the transmitted most recent portion of the sequence after each of the keypresses, when the transmitted most recent portion of the sequence includes one or more words that overlaps both the corresponding remote vocabulary and the locally stored primary vocabulary; receiving a new vocabulary of the plurality of remote vocabularies over the network that pertains to the transmitted most recent portion of the sequence after each of the keypresses, wherein the new vocabulary pertains to a topic, when the new vocabulary includes a plurality of words that correspond to the topic, and wherein the transmitted most recent portion of the sequence includes one or more words that overlap the new vocabulary, such that the new vocabulary has associated therewith a measure of confidence above a prescribed threshold with respect to the transmitted most recent portion of the sequence, wherein the transmitted most recent portion of the sequence significantly overlaps the new vocabulary while lacking significant overlaps with the locally stored primary vocabulary and others of the plurality of remote vocabularies, wherein receiving the new vocabulary comprises receiving a notice over the network that the new vocabulary is available that pertains to the transmitted sequence, and downloading the new vocabulary over the network in response to the received notice; locally storing the received new vocabulary at the apparatus; receiving text entered by the user; and for the received text, using the locally stored vocabulary for any of word prediction, completion, or word correction. 14. The client device of claim 9 , wherein the received new vocabulary depends on any of the client device, an application running on the client device, and a property of the user. | 0.868805 |
8,942,849 | 1 | 14 | 1. A humanoid robot comprising at least two channels for natural communication of messages with at least one interlocutor according to different modalities, said at least two channels each being chosen from a group of channels comprising receive, send channels, and a control module for the inputs/outputs of said channels, wherein said control module is configured to improve the understanding of the messages received by said robot based on execution of at least one function chosen from a group of functions comprising a function of combining messages received/sent on a first channel and on a second channel, and a function of sending a second message generated based on a first message received on a channel. | 1. A humanoid robot comprising at least two channels for natural communication of messages with at least one interlocutor according to different modalities, said at least two channels each being chosen from a group of channels comprising receive, send channels, and a control module for the inputs/outputs of said channels, wherein said control module is configured to improve the understanding of the messages received by said robot based on execution of at least one function chosen from a group of functions comprising a function of combining messages received/sent on a first channel and on a second channel, and a function of sending a second message generated based on a first message received on a channel. 14. The humanoid robot of claim 1 , wherein at least one of the channels is a hybrid channel receiving as inputs the outputs of two channels, merged by said control module for the inputs and outputs. | 0.909463 |
9,990,108 | 13 | 16 | 13. The system according to claim 6 , wherein: the central processing unit is operative to interpret the input data to include selecting more information about the indication of how many chat room members of the first chat room have read the first message posted in the first chat room; and based on the interpretation of the input data, the graphics processing unit is operative to prepare the user interface screen to further include a representation of each of the members of the first chat room and an indication of which of the members of the first chat room have read the first message. | 13. The system according to claim 6 , wherein: the central processing unit is operative to interpret the input data to include selecting more information about the indication of how many chat room members of the first chat room have read the first message posted in the first chat room; and based on the interpretation of the input data, the graphics processing unit is operative to prepare the user interface screen to further include a representation of each of the members of the first chat room and an indication of which of the members of the first chat room have read the first message. 16. The system according to claim 13 , wherein the representations of the members are ordered according to which of the members of the first chat room have read the first message and which of the members of the first chat room have not read the first message. | 0.888554 |
8,387,029 | 1 | 8 | 1. A non-transitory computer-readable medium storing computer-executable instructions implementing a parser that has multiple parse states, wherein, when the instructions are executed by a computer, the instructions cause the computer to perform a process comprising: receiving a portion of a software program in an original linguistic form in a high level language, wherein the portion of the software program includes a nonlinear program element having a body; tokenizing the portion of the software program to generate an input stream of tokens representing the portion of the software program; and while retaining the original linguistic form, using a set of one or more production rules to control a parser to directly execute the nonlinear program element by manipulating a parse state and the input stream of tokens, wherein the one or more production rules enable the parser to perform type conversion and the one or more production rules enable the parser to insert an expression into the input stream of tokens to skip tokens in the input stream of tokens during execution of the nonlinear program element, and wherein directly executing comprises executing tokens until the dynamic end of the nonlinear program element is reached, and wherein manipulating the input stream of tokens comprises using the one or more production rules to perform type conversion on at least one token of the input stream of tokens and using the one or more production rules to insert expressions into the input stream of tokens to skip tokens during execution of the nonlinear program element. | 1. A non-transitory computer-readable medium storing computer-executable instructions implementing a parser that has multiple parse states, wherein, when the instructions are executed by a computer, the instructions cause the computer to perform a process comprising: receiving a portion of a software program in an original linguistic form in a high level language, wherein the portion of the software program includes a nonlinear program element having a body; tokenizing the portion of the software program to generate an input stream of tokens representing the portion of the software program; and while retaining the original linguistic form, using a set of one or more production rules to control a parser to directly execute the nonlinear program element by manipulating a parse state and the input stream of tokens, wherein the one or more production rules enable the parser to perform type conversion and the one or more production rules enable the parser to insert an expression into the input stream of tokens to skip tokens in the input stream of tokens during execution of the nonlinear program element, and wherein directly executing comprises executing tokens until the dynamic end of the nonlinear program element is reached, and wherein manipulating the input stream of tokens comprises using the one or more production rules to perform type conversion on at least one token of the input stream of tokens and using the one or more production rules to insert expressions into the input stream of tokens to skip tokens during execution of the nonlinear program element. 8. The non-transitory computer-readable medium as recited in claim 1 , wherein the nonlinear program element comprises an exception handler having a try clause and a catch clause, the process further comprising: marking the beginning of the try clause in the parse stack; and upon detection of exception in the try clause, finding the mark point in the parse stack for the exception handler and discarding all tokens up to the end of the try clause. | 0.501111 |
8,920,469 | 10 | 11 | 10. A spinal fixation system, comprising: a bone anchor having a bone-engaging portion and a spinal fixation element receiving portion with opposed arms configured to receive a spinal fixation element therebetween; a connecting member having first and second ends, the first end having an opening extending therethrough; a threaded member having a portion thereof extending through the opening of the first end of the connecting member, the threaded member being configured to threadably engage the opposed arms of the spinal fixation element receiving portion of the bone anchor such that the threaded member contacts both arms of the opposed arms; and a locking member configured to engage a proximal portion of the threaded member and secure the first end of the connecting member between a proximal end of the locking member and a spinal fixation element disposed in the spinal fixation element receiving portion of the bone anchor. | 10. A spinal fixation system, comprising: a bone anchor having a bone-engaging portion and a spinal fixation element receiving portion with opposed arms configured to receive a spinal fixation element therebetween; a connecting member having first and second ends, the first end having an opening extending therethrough; a threaded member having a portion thereof extending through the opening of the first end of the connecting member, the threaded member being configured to threadably engage the opposed arms of the spinal fixation element receiving portion of the bone anchor such that the threaded member contacts both arms of the opposed arms; and a locking member configured to engage a proximal portion of the threaded member and secure the first end of the connecting member between a proximal end of the locking member and a spinal fixation element disposed in the spinal fixation element receiving portion of the bone anchor. 11. The system of claim 10 , wherein the locking member includes a cap member having a threaded bore formed therein, the threaded bore being configured to engage threads formed on the proximal portion of the threaded member. | 0.627907 |
7,552,381 | 45 | 46 | 45. The computer readable storage medium defined in claim 44 wherein the collection coversheet comprises a collection overview. | 45. The computer readable storage medium defined in claim 44 wherein the collection coversheet comprises a collection overview. 46. The computer readable storage medium of claim 45 , wherein the collection overview comprises a plurality of thumbnail depictions of documents. | 0.959534 |
8,468,142 | 23 | 24 | 23. The media of claim 22 , wherein: the sixth BDD comprises: a binary 0 terminal node; a binary 1 terminal node; and a plurality of paths, each path comprising a plurality of decision nodes and leading to either the 0 terminal node or the 1 terminal node, and for each of the paths that leads to the 1 terminal node, a web page represented by first one or more of the decision nodes on the path is included in a search result for a search query represented by second one or more of the decision nodes on the path. | 23. The media of claim 22 , wherein: the sixth BDD comprises: a binary 0 terminal node; a binary 1 terminal node; and a plurality of paths, each path comprising a plurality of decision nodes and leading to either the 0 terminal node or the 1 terminal node, and for each of the paths that leads to the 1 terminal node, a web page represented by first one or more of the decision nodes on the path is included in a search result for a search query represented by second one or more of the decision nodes on the path. 24. The media of claim 23 , wherein the plurality of computer-readable instructions, when executed, are further operable to cause one or more computing devices to: receive a new search query, the new search query comprising one or more of the words; search through the sixth BDD; for each of the paths that leads to the 1 terminal node, if the search query on the path equals the new search query, then include all web pages on the path in a search result for the new search query; and return the search result in response to the new search query. | 0.883913 |
8,731,934 | 21 | 23 | 21. A method of data-mining a monitored telephone conversation, the method comprising: transcribing a monitored telephone conversation; extracting a plurality of characteristics of the monitored telephone conversation; associating the extracted plurality of characteristics of the monitored telephone conversation with a transcript of the monitored telephone conversation; analyzing the transcript of the monitored telephone conversation to detect one or more events within the monitored telephone conversation on a computing device following the transcription of the monitored telephone conversation; determining a topic of the monitored telephone conversation based upon querying a topic database with one or more extracted phrases from the transcript, wherein the topic database includes a slang term associated with both a major topic and a minor topic; associating metadata information indicative of the detected one or more events with the transcript of the monitored telephone conversation on a computing device; and storing at least the transcript of the monitored telephone conversation and the characteristics and metadata information associated therewith in a multimedia data warehouse as a data record for the monitored telephone conversation. | 21. A method of data-mining a monitored telephone conversation, the method comprising: transcribing a monitored telephone conversation; extracting a plurality of characteristics of the monitored telephone conversation; associating the extracted plurality of characteristics of the monitored telephone conversation with a transcript of the monitored telephone conversation; analyzing the transcript of the monitored telephone conversation to detect one or more events within the monitored telephone conversation on a computing device following the transcription of the monitored telephone conversation; determining a topic of the monitored telephone conversation based upon querying a topic database with one or more extracted phrases from the transcript, wherein the topic database includes a slang term associated with both a major topic and a minor topic; associating metadata information indicative of the detected one or more events with the transcript of the monitored telephone conversation on a computing device; and storing at least the transcript of the monitored telephone conversation and the characteristics and metadata information associated therewith in a multimedia data warehouse as a data record for the monitored telephone conversation. 23. The method according to claim 21 , wherein the step of analyzing the transcript of the monitored telephone conversation to detect one or more events within the monitored telephone conversation comprises analyzing at least the transcript of the monitored telephone conversation for an indication a third party was added to the monitored telephone conversation. | 0.704878 |
9,836,508 | 10 | 14 | 10. A system comprising: a memory for storing data and computer-executable instructions; and at least one processor configured to access the memory, wherein the at least one processor is further configured to execute the computer-executable instructions to cause the system to perform a method comprising: associating external query data having one or more query field values with a record in a linked hierarchical database, the linked hierarchical database comprising a plurality of records, each record having a record identifier and representing an entity in a hierarchy, each record associated with a hierarchy level, each record comprising one or more fields, each field configured to contain a field value, the associating comprising: receiving the external query data, wherein the external query data comprises one or more search values; and identifying, from the plurality of records in the linked hierarchical database, one or more matched fields having field values that at least partially match the one or more search values; scoring, with zero or more match weights, each of the one or more matched fields; determining an aggregate weight for each matched field based at least in part on the scoring with the zero or more match weights; merging, based at least in part on determining the aggregate weights, the one or more matched fields to form a merged table having records with matched fields; scoring the merged table based at least in part on the aggregate weights; and outputting, based at least in part on the scoring of the merged table, a record identifier corresponding to a matching entity in the hierarchy. | 10. A system comprising: a memory for storing data and computer-executable instructions; and at least one processor configured to access the memory, wherein the at least one processor is further configured to execute the computer-executable instructions to cause the system to perform a method comprising: associating external query data having one or more query field values with a record in a linked hierarchical database, the linked hierarchical database comprising a plurality of records, each record having a record identifier and representing an entity in a hierarchy, each record associated with a hierarchy level, each record comprising one or more fields, each field configured to contain a field value, the associating comprising: receiving the external query data, wherein the external query data comprises one or more search values; and identifying, from the plurality of records in the linked hierarchical database, one or more matched fields having field values that at least partially match the one or more search values; scoring, with zero or more match weights, each of the one or more matched fields; determining an aggregate weight for each matched field based at least in part on the scoring with the zero or more match weights; merging, based at least in part on determining the aggregate weights, the one or more matched fields to form a merged table having records with matched fields; scoring the merged table based at least in part on the aggregate weights; and outputting, based at least in part on the scoring of the merged table, a record identifier corresponding to a matching entity in the hierarchy. 14. The system of claim 10 , wherein the at least one processor is further configured to execute the computer-executable instructions to cause the system to perform the method further comprising: determining, from the merged table, and based at least in part from the aggregate weights, a first leading scorer of the matched fields and a second leading scorer of the matched fields, the first leading scorer associated with a record having a highest aggregate weight and the second leading scorer associated with a record having a second highest aggregate weight; determining a first condition comprising whether a first weight associated with the first leading scorer meets or exceeds a first predetermined value; determining a second condition comprising whether a difference between the first weight and a second weight associated with the second leading scorer meets or exceeds a second predetermined value; and wherein the matching entity corresponds to the first leading scorer and is based at least in part on the determining of the first condition and on the determining of the second condition, and wherein the matching entity further corresponds to an entity associated with a lowest hierarchy level associated with the grouping. | 0.500403 |
8,650,542 | 9 | 12 | 9. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by at least one processor, cause the at least one processor to: receive a request to create a function object based on one or more parameters; determine, based on the one or more parameters, a plurality of ordered and hierarchical operations that correspond to the function object; determine, based on the one or more parameters, descriptions corresponding to what is performed by at least one of the plurality of ordered and hierarchical operations; receive a request to describe the function object; and output, based on the request, documentation of the plurality of ordered and hierarchical operations included in the function object, the documentation including the descriptions arranged based on a determined order of the plurality of ordered and hierarchical operations. | 9. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by at least one processor, cause the at least one processor to: receive a request to create a function object based on one or more parameters; determine, based on the one or more parameters, a plurality of ordered and hierarchical operations that correspond to the function object; determine, based on the one or more parameters, descriptions corresponding to what is performed by at least one of the plurality of ordered and hierarchical operations; receive a request to describe the function object; and output, based on the request, documentation of the plurality of ordered and hierarchical operations included in the function object, the documentation including the descriptions arranged based on a determined order of the plurality of ordered and hierarchical operations. 12. The non-transitory computer-readable medium of claim 9 , where the function object is generated in an interactive user session in a technical computing environment. | 0.862295 |
8,682,394 | 9 | 11 | 9. A method comprising: associating a first color with a first message address characteristic and a second color with a second message address characteristic, wherein the first color is different from the second color; accepting an email message, including an email message address and content, input to a wireless communication device; examining the accepted email message address to identify a characteristic of the accepted email message address, wherein the characteristic is one of an email message recipient host name, a domain name, an approved email message recipient, and an unapproved email message recipient; and before transmission, displaying at least a portion of the accepted email message on a display of the wireless communication device, the email message being color-coded with the first color when the identified characteristic is the first message address characteristic and the email message being color-coded with the second color when the identified characteristic is the second message address characteristic. | 9. A method comprising: associating a first color with a first message address characteristic and a second color with a second message address characteristic, wherein the first color is different from the second color; accepting an email message, including an email message address and content, input to a wireless communication device; examining the accepted email message address to identify a characteristic of the accepted email message address, wherein the characteristic is one of an email message recipient host name, a domain name, an approved email message recipient, and an unapproved email message recipient; and before transmission, displaying at least a portion of the accepted email message on a display of the wireless communication device, the email message being color-coded with the first color when the identified characteristic is the first message address characteristic and the email message being color-coded with the second color when the identified characteristic is the second message address characteristic. 11. The method of claim 9 , further comprising the operation of displaying the accepted email message address prior to transmitting the email message content. | 0.772334 |
8,095,481 | 2 | 4 | 2. The method of claim 1 wherein said classification system comprises of a rules-based classification system and/or a semantic web-based classification system. | 2. The method of claim 1 wherein said classification system comprises of a rules-based classification system and/or a semantic web-based classification system. 4. The method of claim 2 wherein said predefined set of characteristics in said semantic web-based classification system comprises characteristics ontology referenced by said print product description. | 0.925885 |
9,123,259 | 1 | 3 | 1. A system comprising: one or more processors; memory; a map segmentation module maintained in the memory and executable by the one or more processors to segment a map of an area into a set of sections; a function distribution module maintained in the memory and executable by the one or more processors to infer a distribution of functions for each section in the set of sections according to a topic model framework which uses mobility patterns of users leaving from and arriving at each section and uses points of interest (POIs) in each section; a section aggregation module maintained in the memory and executable by the one or more processors to group sections of the set of sections based at least in part on a similarity of the distribution of functions between each section to create functional groups; a functionality intensity estimator maintained in the memory and executable by the one or more processors to estimate a functionality intensity for each of the functional groups; and a group annotation module maintained in the memory and executable by the one or more processors to annotate each of the functional groups on a visual representation of the area. | 1. A system comprising: one or more processors; memory; a map segmentation module maintained in the memory and executable by the one or more processors to segment a map of an area into a set of sections; a function distribution module maintained in the memory and executable by the one or more processors to infer a distribution of functions for each section in the set of sections according to a topic model framework which uses mobility patterns of users leaving from and arriving at each section and uses points of interest (POIs) in each section; a section aggregation module maintained in the memory and executable by the one or more processors to group sections of the set of sections based at least in part on a similarity of the distribution of functions between each section to create functional groups; a functionality intensity estimator maintained in the memory and executable by the one or more processors to estimate a functionality intensity for each of the functional groups; and a group annotation module maintained in the memory and executable by the one or more processors to annotate each of the functional groups on a visual representation of the area. 3. The system of claim 1 , wherein the topic model framework stores a point of interest (POI) feature vector associated with the POIs in each section as metadata. | 0.8463 |
8,260,809 | 1 | 8 | 1. A computer-implemented system comprising: one or more processors; a recognition component that is executable by the one or more processors to receive a partial query input as voice signals of a user with at least one other sensed input type comprising text, image or audio; a classifier component, executable by the one or more processors, that processes the partial query input and infers in real-time multiple different search goals based on the partial query input by accessing one or more query databases that store query information and from which similar or matching character sets, terms or phrases are derived for generating at least one complete query, the classifier comprising a support vector machine to find a hyperspace in a space of possible inputs to distinguish triggering input events from non-triggering input events, the classifier explicitly trained using generic training data and implicitly trained by observing user behavior; a query formulation component, executable by the one or more processors, that generates the at least one complete query based on the multiple different search goals; and a search engine, executable by the one or more processors, that receives the at least one complete query, presents the at least one complete query to the user for editing, and processes the at least one complete query to return search results for each of the at least one complete query, the search results based on a confidence value output by the voice recognition component indicating the confidence of converted voice signals relative to the partial query input as voice signals of the user. | 1. A computer-implemented system comprising: one or more processors; a recognition component that is executable by the one or more processors to receive a partial query input as voice signals of a user with at least one other sensed input type comprising text, image or audio; a classifier component, executable by the one or more processors, that processes the partial query input and infers in real-time multiple different search goals based on the partial query input by accessing one or more query databases that store query information and from which similar or matching character sets, terms or phrases are derived for generating at least one complete query, the classifier comprising a support vector machine to find a hyperspace in a space of possible inputs to distinguish triggering input events from non-triggering input events, the classifier explicitly trained using generic training data and implicitly trained by observing user behavior; a query formulation component, executable by the one or more processors, that generates the at least one complete query based on the multiple different search goals; and a search engine, executable by the one or more processors, that receives the at least one complete query, presents the at least one complete query to the user for editing, and processes the at least one complete query to return search results for each of the at least one complete query, the search results based on a confidence value output by the voice recognition component indicating the confidence of converted voice signals relative to the partial query input as voice signals of the user. 8. The system of claim 1 , further comprising a syntactical processing component that receives recognized voice signals output from the voice recognition component and analyzes and processes word usage in the recognized voice signals for syntax properties. | 0.537906 |
8,874,581 | 18 | 20 | 18. A computer readable storage medium comprising processor-executable instructions that, when executed on one or more processors, perform operations comprising: responsive to receiving a query item, applying a predefined pattern to a plurality of web pages to extract a collection of semantic classes; identifying a first semantic class collection from the collection of semantic classes, each semantic class containing the query item; conducting a preprocessing operation on the first semantic class collection to remove one or more items with a semantic class frequency less than a predetermined threshold and to create a second semantic class collection comprising the semantic classes remaining after the removing from the first semantic class collection, each remaining semantic class containing the query item; applying a topic model to a specific semantic class collection to create a plurality of topics, the topic model configured to set a topic number for each of the plurality of topics that is based on a number of semantic classes to which each of the plurality of topics could belong and is larger than the number of semantic classes to which each of the plurality of topics could belong; and conducting a postprocessing operation on results of the topic model for each of the one or more items to merge the plurality of topics and generate a final semantic class collection used to generate a response to the query item. | 18. A computer readable storage medium comprising processor-executable instructions that, when executed on one or more processors, perform operations comprising: responsive to receiving a query item, applying a predefined pattern to a plurality of web pages to extract a collection of semantic classes; identifying a first semantic class collection from the collection of semantic classes, each semantic class containing the query item; conducting a preprocessing operation on the first semantic class collection to remove one or more items with a semantic class frequency less than a predetermined threshold and to create a second semantic class collection comprising the semantic classes remaining after the removing from the first semantic class collection, each remaining semantic class containing the query item; applying a topic model to a specific semantic class collection to create a plurality of topics, the topic model configured to set a topic number for each of the plurality of topics that is based on a number of semantic classes to which each of the plurality of topics could belong and is larger than the number of semantic classes to which each of the plurality of topics could belong; and conducting a postprocessing operation on results of the topic model for each of the one or more items to merge the plurality of topics and generate a final semantic class collection used to generate a response to the query item. 20. The computer readable storage medium of claim 18 , wherein applying the topic model comprises: mapping the first semantic class collection to a plurality of documents, each document in the plurality of documents containing the query item; mapping the second semantic class collection to a plurality of words; and treating the plurality of topics that are created as a plurality of semantic classes. | 0.742967 |
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